BIRCH: A New Data Clustering Algorithm and Its Applications
Data Mining and Knowledge Discovery
SQLEM: fast clustering in SQL using the EM algorithm
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Data bubbles: quality preserving performance boosting for hierarchical clustering
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Empirical bayes screening for multi-item associations
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
Data Mining and Knowledge Discovery
A Unifying View on Instance Selection
Data Mining and Knowledge Discovery
Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data Squashing by Empirical Likelihood
Data Mining and Knowledge Discovery
Looking for lumps: boosting and bagging for density estimation
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Data Squashing for Speeding Up Boosting-Based Outlier Detection
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Subspace Clustering Based on Compressibility
DS '02 Proceedings of the 5th International Conference on Discovery Science
Information Sciences—Informatics and Computer Science: An International Journal
Data mining tasks and methods: scalability
Handbook of data mining and knowledge discovery
Data squashing: constructing summary data sets
Handbook of massive data sets
Scalable Model-based Clustering by Working on Data Summaries
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Applications of sampling and fractional factorial designs to model-free data squashing
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A database clustering methodology and tool
Information Sciences—Informatics and Computer Science: An International Journal
A hybrid approach for multiresolution modeling of large-scale scientific data
Proceedings of the 2005 ACM symposium on Applied computing
An Empirical Bayes Approach to Detect Anomalies in Dynamic Multidimensional Arrays
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Data bubbles for non-vector data: speeding-up hierarchical clustering in arbitrary metric spaces
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Tailoring density estimation via reproducing kernel moment matching
Proceedings of the 25th international conference on Machine learning
Fast support vector machines for continuous data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Subspace Discovery for Promotion: A Cell Clustering Approach
DS '09 Proceedings of the 12th International Conference on Discovery Science
Scalable model-based cluster analysis using clustering features
Pattern Recognition
Data mining using relational database management systems
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
PatZip: pattern-preserved spatial data compression
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
“Copasetic clustering": making sense of large-scale images
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
Data mining a diabetic data warehouse
Artificial Intelligence in Medicine
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