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» Online Algorithms for Mining Semi-structured Data Stream
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KDD
2002
ACM
186views Data Mining» more  KDD 2002»
16 years 2 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
DEXA
2009
Springer
151views Database» more  DEXA 2009»
15 years 8 months ago
Detecting Projected Outliers in High-Dimensional Data Streams
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
Ji Zhang, Qigang Gao, Hai H. Wang, Qing Liu, Kai X...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 2 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
16 years 2 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
SDM
2007
SIAM
103views Data Mining» more  SDM 2007»
15 years 3 months ago
A System for Keyword Search on Textual Streams
An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...