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Project

Theoretical Foundations of Finding Significant Patterns in Data Mining.

The umbrella topic of the research is to study the theoretical foundations of pattern mining in binary data. The rest of the section discusses different specific directions of the research.* Axiomatic Approach for Defining Measure of Significance of Itemsets : Our goal is to study whether this tradeoff holds in general?Our hypothesis is that the property required by the APRIORI algorithm poses strong conditions on how and what prior information can be used.* Pattern Mining for Datasets with Specific Form: Our goal is to study how such specific prior knowledge can be infused into pattern mining: The goal is to study whether we can use this information in defining a significance measure but also whether this information can be used for deducing efficient algorithms.
Date:1 Oct 2009 →  30 Sep 2012
Keywords:PATTERN, DATA MINING
Disciplines:Applied mathematics in specific fields, Artificial intelligence, Computer hardware, Computer theory, Scientific computing, Other computer engineering, information technology and mathematical engineering, Cognitive science and intelligent systems