Machine Learning
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Asymptotic model selection for directed networks with hidden variables*
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Entropy-based subspace clustering for mining numerical data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Economics - Computational Studies at Stanford
A New Method for Mining Regression Classes in Large Data Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of methodologies and technologies for data mining and intelligent data discovery
Data mining for design and manufacturing
Knowledge discovery in databases: An overview
Relational Data Mining
An intelligent middleware for linear correlation discovery
Decision Support Systems
Progress in Intelligent Data Analysis
Applied Intelligence
A Generalized Model for Predictive Data Mining
Information Systems Frontiers
Data Mining and Modeling in Scientific Databases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
Query Initiated Discovery of Interesting Association Rules
DS '98 Proceedings of the First International Conference on Discovery Science
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
A Statistical Approach to the Discovery of Ephemeral Associations among News Topics
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Bayesian analysis of massive datasets via particle filters
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Statistics perspective on data and knowledge
Handbook of data mining and knowledge discovery
Knowledge evaluation: statistical evaluations
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Managing data mining technologies in organizations
Intelligent data analysis
Implementation of data mining techniques in construction estimating
Neural, Parallel & Scientific Computations - Special issue: Computing intelligence in management
Knowledge extraction from construction cost databases using fuzzy queries
Design and application of hybrid intelligent systems
Linear correlation discovery in databases: a data mining approach
Data & Knowledge Engineering
Regression analysis for massive datasets
Data & Knowledge Engineering
Knowledge Discovery in the Digital Library: access tools for mining science
Information Services and Use - Electronic Tools for Knowledge Discovery and Health
Evolutionary model selection in unsupervised learning
Intelligent Data Analysis
Tests and variables selection on regression analysis for massive datasets
Data & Knowledge Engineering
Principles of human-computer collaboration for knowledge discovery in science
Artificial Intelligence
Mining Outliers in Correlated Subspaces for High Dimensional Data Sets
Fundamenta Informaticae - Intelligent Data Analysis in Granular Computing
Positive vectors clustering using inverted Dirichlet finite mixture models
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Data mining is on the interface of Computer Science andStatistics, utilizing advances in both disciplines to make progressin extracting information from large databases. It is an emergingfield that has attracted much attention in a very short period oftime. This article highlights some statistical themes and lessonsthat are directly relevant to data mining and attempts to identifyopportunities where close cooperation between the statistical andcomputational communities might reasonably provide synergy forfurther progress in data analysis.