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» Mining unexpected multidimensional rules
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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 1 days ago
Scalable Algorithms for Distribution Search
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshi...
SIGCOMM
2010
ACM
13 years 5 months ago
Detecting the performance impact of upgrades in large operational networks
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
VDA
2010
206views Visualization» more  VDA 2010»
13 years 7 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 9 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
SIGMOD
2010
ACM
201views Database» more  SIGMOD 2010»
13 years 5 months ago
I4E: interactive investigation of iterative information extraction
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...
Anish Das Sarma, Alpa Jain, Divesh Srivastava