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Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
J. Data Mining and Knowledge
Discovery, 1(1), pp. 29-53, Kluwer Academic Publishers, April
1997.
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Jing Peng and Bir Bhanu
Independent Feature Analysis
for Image Retrieval
Proc. 1st Int. Work. Machine
Learning and Data Mining in Pattern Recognition, MLDM, Lecture
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Jiong Yang and Wei Wang and Richard
Muntz
Dynamic Web Caching
Technical Report, University of California, Los Angeles, Computer Science
Department, Number 980042, p. 20.
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Jochen Dorre and Peter Gerstl and
Roland Seiffert
Text Mining: Finding Nuggets
in Mountains of Text Data
Proceedings of the Fifth ACM
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pp. 398-401, ACM Press, August 15-18 1999.
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Jochen Dörre and Peter Gerstl and
Roland Seiffert
Text mining: finding nuggets
in mountains of textual data
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International Conference on Knowledge Discovery and Data Mining,
pp. 398-401, ACM Press, New York, US, 1999.
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John C. Shafer and Rakesh Agrawal
Parallel Algorithms for
High-dimensional Similarity Joins for Data Mining Applications
VLDB'97, Proceedings of 23rd
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1997.
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John C. Shafer and Rakesh Agrawal and
Manish Mehta
SPRINT: A Scalable Parallel
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Proc. 22nd Int. Conf. Very Large
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John Case and Sanjay Jain and Steffen
Lange and Thomas Zeugmann
Incremental Concept Learning
for Bounded Data Mining
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John Case and Sanjay
Jain and Steffen Lange and Thomas
Zeugmann
Incremental concept learning
for bounded data mining
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John Clear and Debbie Dunn and Brad
Harvey and Michael Heytens and Peter Lohman and Abhay Mehta and Mark Melton
and Lars Rohrberg and Ashok Savasere and Robert Wehrmeister and Melody Xu
NonStop SQL/MX, Primitives
for Knowledge Discovery
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John Zeleznikow and Andrew Stranieri
The Split-Up System: Data
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Technical Report, Department of Computer Science and Computer Engineering,
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Jon Kleinberg and Christos
Papadimitriou and Prabhakar Raghavan
A Microeconomic View of Data
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Discovery, Kluwer Academic Publishers, 1999.
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Jose Moreira and Sam Midkiff and
Manish Gupta and Rick Lawrence
Parallel Data Mining using
the Array Package for Java
SC'99: Oregon Convention Center
777 NE Martin Luther King Jr. Boulevard, Portland, Oregon, November 11--18,
1999, ACM Press and IEEE Computer Society Press, 1999.
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Julian R. Neil and Kevin B. Korb
The Evolution of Causal
Models: A Comparison of Bayesian Metrics and Structure Priors
Proceedings of the 3rd
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Mining (PAKDD-99), Lecture Notes in Artificial Intelligence, Vol.
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K. AlSabti and S.
Ranka and V. Singh
An Efficient
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Mining (PAKDD-99), LNAI, Vol. 1574, pp. 355-359, Springer, April
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K. Alsabti and S.
Ranka and V. Singh
An Efficient
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K. Gibert and T. Aluja and U. Cortés
Knowledge Discovery with
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LNAI, Vol. 1510, pp. 83-92, Springer, September 23-26 1998.
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K. Hu and Y. Lu and C.
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Incremental Discovering
Association Rules: A Concept Lattice Approach
Proceedings of the 3rd
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Mining (PAKDD-99), LNAI, Vol. 1574, pp. 109-113, Springer, April
26-28 1999.
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K. Hu and Y. Lu and C.
Shi
Incremental Discovering
Association Rules: A Concept Lattice Approach
Lecture Notes in Computer Science,
Vol. 1574, pp. 109-113, 1999.
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K. Jim and J. Lai and B. Wuethrich
A Data Mining Algorithm
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Lecture Notes in Computer Science,
Vol. 1341, p. 368, 1997.
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K. L. Lee and G. Lee
and A. L. P. Chen
Efficient Graph-Based
Algorithm for Discovering and Maintaining Knowledge in Large Databases
Proceedings of the 3rd
Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data
Mining (PAKDD-99), LNAI, Vol. 1574, pp. 409-419, Springer, April
26-28 1999.
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K. L. Lee and G. Lee
and A. L. P. Chen
Efficient Graph-Based
Algorithm for Discovering and Maintaining Knowledge in Large Databases
Lecture Notes in Computer Science,
Vol. 1574, pp. 409-419, 1999.
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K. M. Ho and P. D. Scott
An Efficient Global
Discretization Method
Lecture Notes in Computer Science,
Vol. 1394, pp. 383-384, 1998.
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K. M. Ho and P. D. Scott
Overcoming Fragmentation in
Decision Trees Through Attribute Value Grouping
Proceedings of the 2nd European
Symposium on Principles of Data Mining and Knowledge Discovery (PKDD-98),
LNAI, Vol. 1510, pp. 337-344, Springer, September 23-26 1998.
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K. M. Ting
Inducing Cost-Sensitive
Trees via Instance Weighting
Proceedings of the 2nd European
Symposium on Principles of Data Mining and Knowledge Discovery (PKDD-98),
LNAI, Vol. 1510, pp. 139-147, Springer, September 23-26 1998.
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K. M. Ting and Z.
Zheng
Improving the Performance of
Boosting for Naive Bayesian Classification
Proceedings of the 3rd
Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data
Mining (PAKDD-99), LNAI, Vol. 1574, pp. 296-305, Springer, April
26-28 1999.
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K. M. Ting and Z.
Zheng
Improving the Performance of
Boosting for Naive Bayesian Classification
Lecture Notes in Computer Science,
Vol. 1574, pp. 296-305, 1999.
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K. Matsumoto
Exploratory Attributes
Search in Times-Series Data: An Experimental System for Agricultural
Application
Proceedings of the 2nd European
Symposium on Principles of Data Mining and Knowledge Discovery (PKDD-98),
LNAI, Vol. 1510, pp. 388-395, Springer, September 23-26 1998.
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K. Rajamani and S.
Sung and A. Cox
Extending the Applicability
of Association Rules
Proceedings of the 3rd
Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data
Mining (PAKDD-99), LNAI, Vol. 1574, pp. 64-73, Springer, April
26-28 1999.
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K. Rajamani and S.
Sung and A. Cox
Extending the Applicability
of Association Rules
Lecture Notes in Computer Science,
Vol. 1574, pp. 64-73, 1999.
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K.-C. Lee
A Technique of Dynamic
Feature Selection Using the Feature Group Mutual Information
Proceedings of the 3rd
Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data
Mining (PAKDD-99), LNAI, Vol. 1574, pp. 138-142, Springer, April
26-28 1999.
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K.-C. Lee
A Technique of Dynamic
Feature Selection Using the Feature Group Mutual Information
Lecture Notes in Computer Science,
Vol. 1574, pp. 138-142, 1999.
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Kan Chen and Huan Liu
Digital Circuit Evolution
and Fitness Landscapes 1299 Vesselin K. Vassilev Julian F. Miller Terence
C. Fogarty Towards an Evolutionary Algorithm: A Comparison of Two Feature
Selection Algorithms
Proceedings of the Congress on
Evolutionary Computation, Vol. 2, pp. 1309-1313, IEEE Press, 6-9
July 1999.
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Kaula
review of Adriaans &
Zantinge, Data Mining (Addison-Wesley, 1997)
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Kazunori Matsumoto
An Experimental Agricultural
Data Mining System
Proceedings of the 1st
International Conference on Discovery Science (DS-98), LNAI, Vol. 1532,
pp. 439-440, Springer, December 14-16 1998.
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Kazunori Matsumoto and Takeo Hayase
and Nobuyuki Ikeda
Data Mining of Generalized
Association Rules Using a Method of Partial-Match Retrieval
Proceedings of the 2nd International
Conference on Discovery Science (DS-99), LNAI, Vol. 1721, pp.
160-171, Springer, December 6-8 1999.
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Ke Wang and Huiqing Liu
Schema Discovery for
Semistructured Data
Third International Conference on
Knowledge Discovery and Data Mining (KDD-97), pp. 271-274, 1997.
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Kenji Satou and Toshihide Ono and
Yoshihisa Yamamura and Emiko Furuichi and Satoru Kuhara and Toshihisa
Takagi
Extraction of Substructures
of Proteins Essential to their Biological Functions by a Data Mining
Technique
Proceedings of the 5th
International Conference on Intelligent Systems for Molecular Biology,
pp. 254-257, AAAI Press, June 21-26 1997.
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Kenneth C. Cox and Stephen G. Eick
and Graham J. Wills and Ronald J. Brachman
Visual Data Mining: Recognizing
Telephone Calling Fraud
J. Data Mining and Knowledge
Discovery, 1(2), pp. 225-231, Kluwer Academic Publishers, 1997.
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KianSing Ng and Huan Liu and HweeBong
Kwah
A Data Mining Application:
Customer Retention at the Port of Singapore Authority (PSA)
SIGMOD Record (ACM Special
Interest Group on Management of Data), 27(2), p. 522, 1998.
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KianSing Ng and Huan Liu and HweeBong
Kwah
A Data Mining Application:
Customer Retention at the Port of Singapore Authority (PSA)
Proceedings of the ACM SIGMOD
International Conference on Management of Data (SIGMOD-98), ACM
SIGMOD Record, Vol. 27,2, pp. 522-525, ACM Press, June 1-4 1998.
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Krista Lagus and Timo Honkela and
Samuel Kaski and Teuvo Kohonen
Self-organizing maps of document
collections: A new approach to interactive exploration
Proceedings of the Second
International Conference on Knowledge Discovery and Data Mining,
pp. 238-243, AAAI Press, 1996.
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Kristin Bennett and Usama Fayyad and
Dan Geiger
Density-Based Indexing for
Approximate Nearest-Neighbor Queries
Proceedings of the Fifth ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining,
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