During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
We presenthere an approachand algorithm for mining generalizedterm associations.The problem is to find co-occurrencefrequenciesof terms, given a collection of documents eachwith r...
Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLe...
This paper explores the concept of early discard for interactive search of unindexed data. Processing data inside storage devices using downloaded searchlet code enables Diamond t...
Larry Huston, Rahul Sukthankar, Rajiv Wickremesing...
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Real-time rendering of massively textured 3D scenes usually involves two major problems: Large numbers of texture switches are a well-known performance bottleneck and the set of s...