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KDD
1997
ACM
113views Data Mining» more  KDD 1997»
13 years 11 months ago
A Guided Tour through the Data Mining Jungle
Animportantsuccessfactor for the field of KDDlies in the developmentand integration of methodsfor supporting the construction and execution of KDDprocesses. Crucial aspects in thi...
Robert Engels, Guido Lindner, Rudi Studer
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
13 years 11 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
13 years 10 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
13 years 11 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
KDD
1997
ACM
213views Data Mining» more  KDD 1997»
13 years 11 months ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth