from sklearn.ensemble import IsolationForest
from typing import List, Dict, Any

class AdvancedDataProcessor:
    """Processes data with advanced algorithms for deeper insights"""
    def __init__(self):
        self.isolation_forest = IsolationForest()

    def process_data(self, data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
        """Process data and detect anomalies"""
        processed_data = []
        for item in data:
            item['anomaly_score'] = self.isolation_forest.fit_predict([item['features']])
            processed_data.append(item)
        return processed_data