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Extending Topic Models With Syntax and Semantics Relationships
Probabilistic topic modeling is a powerful tool to uncover hidden thematic structure of documents. These hidden structures are useful for extracting concepts of documents and other data mining tasks, such as information ...
Approximate Parallel High Utility Itemset Mining
High utility itemset mining discovers itemsets whose utility is above a given threshold, where utilities measure the importance of itemsets. In high utility itemset mining, memory and time performance limitations cause ...
Sweep-Line Extensions to the Multiple Object Intersection Problem: Methods and Applications in Graph Mining
Identifying and quantifying the size of multiple overlapping axis-aligned geometric objects is an essential computational geometry problem. The ability to solve this problem can effectively inform a number of spatial data ...