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» Mining Disjunctive Sequential Patterns from News Stream
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IDEAL
2007
Springer
13 years 10 months 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
ICDM
2006
IEEE
227views Data Mining» more  ICDM 2006»
13 years 10 months ago
Incremental Mining of Sequential Patterns over a Stream Sliding Window
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
Chin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Le...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
14 years 5 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
13 years 10 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
JIIS
2006
147views more  JIIS 2006»
13 years 4 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia