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» Data Mining Techniques on the Evaluation of Wireless Churn
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IPPS
1999
IEEE
15 years 1 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
15 years 1 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
15 years 3 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
EDM
2009
104views Data Mining» more  EDM 2009»
14 years 7 months ago
Visualization of Differences in Data Measuring Mathematical Skills
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactivel...
Lukás Zoubek, Michal Burda
IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
15 years 3 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...