Analysis of Data Mining Methods for Discovering Contrast Patterns

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Provided by: International Journal of Computer Engineering & Applications
Topic: Big Data
Format: PDF
Patterns or trends show interesting facts in historical business data. Data mining is the discipline of extracting such trends by analyzing data. There are many kinds of patterns that can be extracts in different perspectives. Contrast patterns are the patterns that reflect significant differences among different datasets. Due to the real world utility of these patterns, many data mining methods came into existence to discover such patterns. These methods use measures like support and confidence to evaluate different datasets in frequency domain instead of temporal domain making them inefficient for extracting temporal trends.
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