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ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
14 years 12 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
WAIM
2009
Springer
15 years 6 months ago
Intervention Events Detection and Prediction in Data Streams
Abstract. Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of interve...
Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Y...
ICMCS
2006
IEEE
137views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Online Mining of Recent Music Query Streams
Mining multimedia data is one of the most important issues in data mining. In this paper, we propose an online one-pass algorithm to mine the set of frequent temporal patterns in ...
Hua-Fu Li, Chin-Chuan Ho, Man-Kwan Shan, Suh-Yin L...
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 11 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
SDM
2004
SIAM
123views Data Mining» more  SDM 2004»
15 years 3 months ago
Nonlinear Manifold Learning for Data Stream
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...
Martin H. C. Law, Nan Zhang 0002, Anil K. Jain