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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 4 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
DASFAA
2006
IEEE
153views Database» more  DASFAA 2006»
15 years 8 months ago
Dissemination of Dynamic Data: Semantics, Algorithms, and Performance
Abstract The Internet and the Web are increasingly used to disseminate fast changing data such as sensor data, traffic and weather information, stock prices, sports scores, and eve...
Krithi Ramamritham
CIS
2004
Springer
15 years 9 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao