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ICDM
2010
IEEE
132views Data Mining» more  ICDM 2010»
14 years 8 months ago
Monotone Relabeling in Ordinal Classification
In many applications of data mining we know beforehand that the response variable should be increasing (or decreasing) in the attributes. Such relations between response and attrib...
Ad Feelders
161
Voted
ICDE
2002
IEEE
104views Database» more  ICDE 2002»
15 years 11 months ago
Efficient Evaluation of Queries with Mining Predicates
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sara...
KDD
1997
ACM
143views Data Mining» more  KDD 1997»
15 years 2 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
123
Voted
JCP
2006
139views more  JCP 2006»
14 years 10 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
93
Voted
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
15 years 10 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee