egthias.tsas

Our Comb Analysis tool enables advanced pattern recognition and data correlation analysis through machine learning. This powerful solution identifies hidden combinatorial relationships in complex datasets to deliver actionable insights for decision-making.

Key Features

• Advanced correlation matrix generation
• Real-time anomaly detection algorithms
• Visualization of multi-dimensional datasets

Use Cases

• Financial risk analysis and forecasting
• Supply chain optimization patterns
• Market basket analysis for retail

"Comb Analysis transforms complex data into strategic advantages through intelligent pattern recognition."

Implementation Example

data = {
    "transactions": [
        {"customer": "A", "items": ["item1", "item2", "item3"]},
        {"customer": "B", "items": ["item2", "item3"]},
        {"customer": "C", "items": ["item1", "item2"]}
    ]
}

analysis = comb_analysis(data, min_support=0.5)
print(analysis.association_rules())
# Output: {("item2", "item1"): 0.83, ("item3", "item2"): 0.67}