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KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 9 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
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...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 9 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
13 years 10 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
SIGSOFT
2007
ACM
14 years 9 months ago
Mining API patterns as partial orders from source code: from usage scenarios to specifications
A software system interacts with third-party libraries through various APIs. Using these library APIs often needs to follow certain usage patterns. Furthermore, ordering rules (sp...
Mithun Acharya, Tao Xie, Jian Pei, Jun Xu