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KDD
1997
ACM
104views Data Mining» more  KDD 1997»
13 years 9 months ago
Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
Jesús Cerquides, Ramon López de M&aa...
KDD
1997
ACM
221views Data Mining» more  KDD 1997»
13 years 9 months ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
KDD
1997
ACM
130views Data Mining» more  KDD 1997»
13 years 9 months ago
Process-Based Database Support for the Early Indicator Method
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...
Christoph Breitner, Jörg Schlösser, R&uu...
KDD
1997
ACM
92views Data Mining» more  KDD 1997»
13 years 9 months ago
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
John M. Aronis, Foster J. Provost
KDD
1997
ACM
164views Data Mining» more  KDD 1997»
13 years 9 months ago
Partial Classification Using Association Rules
Kamal Ali, Stefanos Manganaris, Ramakrishnan Srika...
KDD
1997
ACM
142views Data Mining» more  KDD 1997»
13 years 9 months ago
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
Wedescribehow specializeddatabasetechnology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign su...
Ulla Bergsten, Johan Schubert, Per Svensson
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
13 years 9 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
KDD
1997
ACM
131views Data Mining» more  KDD 1997»
13 years 9 months ago
Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach
An approach to defining actionability as a measure of interestingness of patterns is proposed. This approach is based on the concept of an action hierarchy which is defined as a t...
Gediminas Adomavicius, Alexander Tuzhilin