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MLDM
2007
Springer
14 years 26 days ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy
IDEAL
2007
Springer
14 years 27 days ago
Mining Disjunctive Sequential Patterns from News Stream
Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorith...
Kazuhiro Shimizu, Isamu Shioya, Takao Miura
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 7 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 7 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
13 years 11 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...