Four-class labels
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2 | 1 |
network layer
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packet: where routers operate at. ip address. tcp/ip protocol. provides connections between hosts on different networks.
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layer 3 of the osi model, it is primarily concerned with forwarding data based on logical addresses. ip addresses and routers are examples.
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1 | 0 |
network layer
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passes datagrams across a network using ip protocol to find the best path across an entire network. (like the postal service) has numerous router protocols.
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routes packets from one network to another, navigating networks following a path of least traffic.
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3 | 1 |
network layer
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path determination and ip (logical addressing) -uses network addresses (ip address) -routers operate at this layer -sends traffic based on ip address
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third layer in the tcp/ip stack. routers and other hardware operate on this layer. determining the path that packets will take using ip addresses.
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0 | 0 |
network layer
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path determination and ip (logical addressing) -uses network addresses (ip address) -routers operate at this layer -sends traffic based on ip address
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layer 3 of the osi model, it is primarily concerned with forwarding data based on logical addresses. ip addresses and routers are examples.
|
3 | 1 |
relational data model
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two-dimensional table representation of data, each row represents a unique record or entity, each column a field where record attributes are stored
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a table representation of data; attributes (columns) and records (rows)
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1 | 0 |
relational data model
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the relational model uses a collection of tables to represent both data and the relationships among those data -columns = properties -rows = instances
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- object types are represented as sets, known as relations - each relation consists of instances which are called tuples - usual way to represent relations is in tables
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3 | 1 |
relational data model
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two-dimensional table representation of data, each row represents a unique record or entity, each column a field where record attributes are stored
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two-dimensional table where each row represents a record and each column represents a field containing attributes
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1 | 0 |
relational data model
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collection of relations (tables), each containing tuples (rows) and attributes (columns)
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tuple = row attribute = column relation = table
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0 | 0 |
relational data model
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most commonly used in contemporary database applications
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-collection of concepts used to describe the data in an enterprise, from the database administrators' point-of-view -logical db design step
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1 | 0 |
relational data model
|
the relational model uses a collection of tables to represent both data and the relationships among those data -columns = properties -rows = instances
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represents everything in the database as being stored in the form of tables called relations
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2 | 1 |
relational data model
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data and relationships are represented as tables
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this uses a collection of tables to represent both data and the relationships among those data.
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3 | 1 |
capacity planning
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involves the construction of new factories, moving production from one location to another, or buying another company and integrating into your supply chain; multi-year effort
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long-term view of capacity management. involves the construction of new factories, moving production from one location to another, or buying another company and integrating into your supply chain.
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2 | 1 |
capacity planning
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1) economies (good when company grows) and diseconomies (bad when company grows) of scale 2) capacity timing and sizing strategies 3) systematic approach to capacity decisions
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-(dis)economies of scale -capacity timing and sizing strategies -systematic approach to capacity decisions
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3 | 1 |
capacity planning
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-estimating the size and type of the standard and advanced network circuits for each type of network
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estimating size and type of network circuits for each network type
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2 | 1 |
capacity planning
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concerned with determining the level of human and other resources that will be necessary to meet the production targets of the organisation.
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o the process of determining the production capacity needed by an organization to meet changing demands.
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0 | 0 |
program execution
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controlled by two special-purpose registers
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double click an icon or single click in some cases
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1 | 0 |
program execution
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depend on 1. program arguments 2. environment variables 3. dynamic libraries 4. other programs and the operating system
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the process of a system loading a program into memory to run.
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0 | 0 |
theoretical model
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describe the way variables of interest are interconnected. usually represented by a diagram or flowchart.
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used interchangeably with symbolic model
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0 | 0 |
theoretical model
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highly established set of concepts that are testable; a ready made map for the study
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describe the way variables of interest are interconnected. usually represented by a diagram or flowchart.
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1 | 0 |
traffic analysis
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the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets
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looks at the network traffic and distinguishes between normal activity and suspicious activity.
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1 | 0 |
traffic analysis
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analysis that asks how much traffic must flow over each of the network's many individual transmission links.
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examines the flow of network traffic for patterns and exceptions to those patterns
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2 | 1 |
traffic analysis
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examines the flow of network traffic for patterns and exceptions to those patterns
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looks at the network traffic and distinguishes between normal activity and suspicious activity.
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2 | 1 |
traffic analysis
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>> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged.
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looks at the network traffic and distinguishes between normal activity and suspicious activity.
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1 | 0 |
traffic analysis
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analysis that asks how much traffic must flow over each of the network's many individual transmission links.
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>> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged.
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0 | 0 |
traffic analysis
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examines the flow of network traffic for patterns and exceptions to those patterns
|
>> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged.
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1 | 0 |
traffic analysis
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analysis that asks how much traffic must flow over each of the network's many individual transmission links.
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looks at the network traffic and distinguishes between normal activity and suspicious activity.
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0 | 0 |
traffic analysis
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the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets
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examines the flow of network traffic for patterns and exceptions to those patterns
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0 | 0 |
traffic analysis
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analysis that asks how much traffic must flow over each of the network's many individual transmission links.
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the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets
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1 | 0 |
traffic analysis
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the attempt to gather information about somebody's internet connections by analyzing the timing, length, and destinations of their packets
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>> traffic analysis involves determining the location and identity of communicating hosts and could observe the frequency and length of messages being exchanged.
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1 | 0 |
hard real-time systems
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oses that have tight timing constraints (ex: one used in a hospital)
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task must be serviced by its deadline. e.g. flight control system
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0 | 0 |
random variables
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well defined function from a sample space to the set of real numbers
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-subject to variation due to chance -two types: discrete and random
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1 | 0 |
random variables
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well defined function from a sample space to the set of real numbers
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represents some &"number&" that occurs randomly and for which we can assign a probability
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0 | 0 |
random variables
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always quantitative (either discrete or continuous) notation: x, y, z
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represents some &"number&" that occurs randomly and for which we can assign a probability
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0 | 0 |
random variables
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always quantitative (either discrete or continuous) notation: x, y, z
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well defined function from a sample space to the set of real numbers
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1 | 0 |
random variables
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-subject to variation due to chance -two types: discrete and random
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values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous
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0 | 0 |
random variables
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probability, mean, variance, percentiles, experimental design, cross-validation, goodness of fit, and robust statistics , ...
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-are values that are determined by chance.
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1 | 0 |
random variables
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always quantitative (either discrete or continuous) notation: x, y, z
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is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment
|
1 | 0 |
random variables
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values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous
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variables whose values are determined by chance
|
1 | 0 |
random variables
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is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment
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-subject to variation due to chance -two types: discrete and random
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0 | 0 |
random variables
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well defined function from a sample space to the set of real numbers
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variables whose values are determined by chance
|
0 | 0 |
random variables
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a numerical description of the outcome of an experiment
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well defined function from a sample space to the set of real numbers
|
2 | 1 |
random variables
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is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment
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values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous
|
0 | 0 |
random variables
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a numerical description of the outcome of an experiment
|
always quantitative (either discrete or continuous) notation: x, y, z
|
1 | 0 |
random variables
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a numerical description of the outcome of an experiment
|
is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment
|
0 | 0 |
random variables
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a numerical description of the outcome of an experiment
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values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous
|
2 | 1 |
random variables
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a numerical measure of the outcome of a random phenomenon. it transfers random outcomes or events into real values
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a variable whose possible values are numerical outcomes of a random phenomenon
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2 | 1 |
random variables
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always quantitative (either discrete or continuous) notation: x, y, z
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values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous
|
2 | 1 |
random variables
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is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment
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represents some &"number&" that occurs randomly and for which we can assign a probability
|
2 | 1 |
random variables
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values that variable takes resulting from random phenomenon; explained by probability distribution - either discrete or continuous
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represents some &"number&" that occurs randomly and for which we can assign a probability
|
2 | 1 |
random variables
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-parameters that are not known with a high degree of certainty -randomly generated from the specified probability distributions.
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input to a simulation model whose value is uncertain and described by a probability distribution.
|
2 | 1 |
random variables
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-subject to variation due to chance -two types: discrete and random
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variables whose values are determined by chance
|
0 | 0 |
random variables
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is a variable (typically represented by x) that has a single numerical value (determined by chance) for each outcome of an experiment
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variables whose values are determined by chance
|
1 | 0 |
random variables
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numerical outcome of a random phenomenon.
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the outcome is random, as is the mean calculated from a random sample.
|
2 | 1 |
random variables
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a variable whose possible values are numerical outcomes of a random phenomenon
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the outcome is random, as is the mean calculated from a random sample.
|
0 | 0 |
random variables
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a numerical description of the outcome of an experiment
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variables whose values are determined by chance
|
1 | 0 |
random variables
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variables whose values are determined by chance
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represents some &"number&" that occurs randomly and for which we can assign a probability
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3 | 1 |
decision tree
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graphical representation of a decision table's conditions, actions, and rules
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a graphical representation of the conditions, actions, and rules found in a decision table.
|
1 | 0 |
decision tree
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nodes represent decision points, and children represent options available
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decision trees work by evaluating a question containing a feature at every node and selecting a branch to the next node, based on the answer.
|
0 | 0 |
decision tree
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a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model.
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a tool that uses tree-like graphs of decisions and possible consequences
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3 | 1 |
decision tree
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represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
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a tool that uses tree-like graphs of decisions and possible consequences
|
2 | 1 |
decision tree
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a mathematical model used to assist a business in making a decision
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a schematic model of decision making showing the available alternatives for the decision maker including the possible consequences
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1 | 0 |
decision tree
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decision node: ask q about attribute edges: answer to the question (specific value or range of values). connects to another decision node
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nodes represent decision points, and children represent options available
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1 | 0 |
decision tree
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a graphical method which aids decision making by identifying and quantifying possible outcomes, probabilities of outcomes and expected values of outcomes
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map possible outcomes of a series of related choices guides thinking towards desired outcome
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2 | 1 |
decision tree
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a tool that can be used to visualize the important aspects of a problem. this graphical model shows decisions, alternatives, actions, and outcomes. use: sequence of decisions
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a decision tree is a tool that can be used to visualize the important aspects of a problem. this graphical model shows decisions, alternatives, actions, and outcomes.
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1 | 0 |
decision tree
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a diagram that lays out different branches that are the result of different decisions made or the result of different economic situations.
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shows how different decisions during a project's life can affect its value
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1 | 0 |
decision tree
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represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
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a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions.
|
1 | 0 |
decision tree
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modeling tool used to evaluate independent decisions that must be made in sequence.
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a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions.
|
3 | 1 |
decision tree
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a way to structure multi-stage decision problems that allows us to identify courses of action, consider probability of multiple different states of nature, assess outcomes, and select the best alternative
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a simple and visual way of presenting the alternative course of action available when making a decision. it is a mathematical model based on logic and probability.
|
1 | 0 |
decision tree
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enable you to develop classification systems that predict or classify future observations based on a set of decision rules
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classification predictive detect criteria for divide pop into classes. two way tables
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0 | 0 |
decision tree
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hypothesis in the form of a tree, used for classification of instances represented as feature vectors
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graphically depicts business processes that usually contain several steps circles represent decisions and squares represent actions
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2 | 1 |
decision tree
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a diagram of possible alternatives and their expected consequences used to formulate possible courses of actions in order to make decisions.
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show complex processes with multiple decision rules. display decision logic (if statements) as set of (nodes) questions and branches (answers).
|
3 | 1 |
decision tree
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a graphical method which aids decision making by identifying and quantifying possible outcomes, probabilities of outcomes and expected values of outcomes
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a graph that helps decision makers use probability theory by showing the expected values of decisions in varying circumstances
|
1 | 0 |
decision tree
|
special type of a search tree you can use to find a solution to a problem by choosing from alternatives starting from the root node.
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decision node: ask q about attribute edges: answer to the question (specific value or range of values). connects to another decision node
|
2 | 1 |
decision tree
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a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions.
|
a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
|
1 | 0 |
decision tree
|
a mathematical model used to assist a business in making a decision
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a schematic model of alternatives available to the decision maker along with their possible consequences.
|
1 | 0 |
decision tree
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• by observing the data and splitting it into sections, rules are created for either prediction or classification problems. • mimics a subject matter expert...pre data mining days.
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classification predictive detect criteria for divide pop into classes. two way tables
|
0 | 0 |
decision tree
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hypothesis in the form of a tree, used for classification of instances represented as feature vectors
|
a graphical presentation of a sequence of interrelated decisions to be made under assume risk. classified specific entities into classes based on its features.
|
1 | 0 |
decision tree
|
a graphical presentation of a sequence of interrelated decisions to be made under assume risk. classified specific entities into classes based on its features.
|
graphically depicts business processes that usually contain several steps circles represent decisions and squares represent actions
|
0 | 0 |
decision tree
|
a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model.
|
a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
|
2 | 1 |
decision tree
|
represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
|
a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
|
0 | 0 |
decision tree
|
modeling tool used to evaluate independent decisions that must be made in sequence.
|
a tool that uses tree-like graphs of decisions and possible consequences
|
0 | 0 |
decision tree
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provides a graphical representation of the decision-making process square node - means you need to make a decision
|
modeling tool used to evaluate independent decisions that must be made in sequence.
|
2 | 1 |
decision tree
|
special type of a search tree you can use to find a solution to a problem by choosing from alternatives starting from the root node.
|
decision trees work by evaluating a question containing a feature at every node and selecting a branch to the next node, based on the answer.
|
0 | 0 |
decision tree
|
often tied to the outcome of other events. shows schematic of how things could progress and provides alternatives
|
a graph that helps decision makers use probability theory by showing the expected values of decisions in varying circumstances
|
3 | 1 |
decision tree
|
it recursively divides a training set until each division consist entirely or primarily of examples from one class.
|
▪employs the divide and conquer method ▪recursively divides a training set until each division consists of examples from one class
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0 | 0 |
decision tree
|
represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
|
provides a graphical representation of the decision-making process square node - means you need to make a decision
|
2 | 1 |
decision tree
|
a graphical presentation of a sequence of interrelated decisions to be made under assume risk. classified specific entities into classes based on its features.
|
-acyclic graph to make decision -each node has a feature examined and then path determined -predict class given a feature
|
3 | 1 |
decision tree
|
a schematic model of decision making showing the available alternatives for the decision maker including the possible consequences
|
a schematic model of alternatives available to the decision maker along with their possible consequences.
|
1 | 0 |
decision tree
|
a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model.
|
a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions.
|
2 | 1 |
decision tree
|
a graphical representation of the conditions, actions, and rules found in a decision table.
|
graphical representation of decisions table
|
1 | 0 |
decision tree
|
represent a hierarchical segmentation of data model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
|
modeling tool used to evaluate independent decisions that must be made in sequence.
|
0 | 0 |
decision tree
|
a graph of decisions and their possible consequences; it is used to create a plan to reach a goal
|
hierarchical arrangement of criteria that predict a classification or value easy to understand easy to implement can deal with partial or incomplete data
|
2 | 1 |
decision tree
|
provides a graphical representation of the decision-making process square node - means you need to make a decision
|
a schematic representation of the available alternatives and their possible consequences, useful for analyzing sequential decisions.
|
1 | 0 |
decision tree
|
often tied to the outcome of other events. shows schematic of how things could progress and provides alternatives
|
map possible outcomes of a series of related choices guides thinking towards desired outcome
|
0 | 0 |
decision tree
|
hypothesis in the form of a tree, used for classification of instances represented as feature vectors
|
built from examples, traversed to draw conclusions based on data divide-and-conquer, greedy search can be viewed as a description of a concept as well as a path to a decision
|
1 | 0 |
decision tree
|
special type of a search tree you can use to find a solution to a problem by choosing from alternatives starting from the root node.
|
nodes represent decision points, and children represent options available
|
2 | 1 |
decision tree
|
hierarchical arrangement of criteria that predict a classification or value easy to understand easy to implement can deal with partial or incomplete data
|
graph of decisions and their possible consequences, used to create a plan to reach a goal a hierarchical arrangement of criteria that predict a classification or a value
|
1 | 0 |
decision tree
|
provides a graphical representation of the decision-making process square node - means you need to make a decision
|
a data mining methodology. a tool used in decision analysis and is another tool used to represent the entity-relationship model.
|
1 | 0 |
requirements engineering
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the processes involved in developing system requirements.
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the process of systematically identifying and handling the requirements for a software system
|
3 | 1 |
requirements engineering
|
the process of systematically identifying and handling the requirements for a software system
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a systematic process of understanding and specifying the solution, and managing the requirements
|
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