We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Conducting data mining on logs of web servers involves the determination of frequently occurring access sequences. We examine the problem of finding traversal patterns from web lo...
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...