A statistical perspective on knowledge discovery in databases

The KDD process for extracting useful knowledge from volumes of data

Communications of the ACM

Credit Risk Assessment Using Statistical and MachineLearning: Basic Methodology and Risk Modeling Applications

Computational Economics - Computational Studies at Stanford

Analyzing maintenance data using data mining methods

Data mining for design and manufacturing

Data mining by attribute decomposition with semiconductor manufacturing case study

Data mining for design and manufacturing

Polyhedral separability through successive LP

Journal of Optimization Theory and Applications

GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization

Computers & Geosciences

Data Mining: An Overview from a Database Perspective

IEEE Transactions on Knowledge and Data Engineering

Data Mining and Knowledge Discovery: Making Sense Out of Data

IEEE Expert: Intelligent Systems and Their Applications

Neural Method for Detection of Complex Patterns in Databases

PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining

Data Mining: Machine Learning, Statistics, and Databases

SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management

Feature-based classification of time-series data

Information processing and technology

Bayesian analysis of massive datasets via particle filters

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Data mining tasks and methods: Rule discovery: characteristic rules

Handbook of data mining and knowledge discovery

Risk analysis

Handbook of data mining and knowledge discovery

Statistics and data mining: intersecting disciplines

ACM SIGKDD Explorations Newsletter

The Interface'98 conference: a resource for KDD

ACM SIGKDD Explorations Newsletter

Theory and support for process frameworks of knowledge discovery and data mining from ERP systems

Information and Management

Knowledge discovery and data mining in biological databases

The Knowledge Engineering Review

Efficient Genetic Algorithm Based Data Mining Using Feature Selection with Hausdorff Distance

Information Technology and Management

Regression analysis for massive datasets

Data & Knowledge Engineering

Tests and variables selection on regression analysis for massive datasets

Data & Knowledge Engineering

Exploratory data analysis leading towards the most interesting simple association rules

Computational Statistics & Data Analysis

Developing a bioaerosol detector using hybrid genetic fuzzy systems

Engineering Applications of Artificial Intelligence

A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging

Expert Systems with Applications: An International Journal

Classification by clustering decision tree-like classifier based on adjusted clusters

Expert Systems with Applications: An International Journal

Classification by clustering decision tree-like classifier based on adjusted clusters

Expert Systems with Applications: An International Journal

A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods

Applied Intelligence

An application of time-changing feature selection

Data Mining

Directed knowledge discovery methodology for the prediction of ozone concentration

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I

An OLAM-based framework for complex knowledge pattern discovery in distributed-and-heterogeneous-data-sources and cooperative information systems

DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery

A decision support method, based on bounded rationality concepts, to reveal feature saliency in clustering problems

Decision Support Systems

An approach to dimensionality reduction in time series

Information Sciences: an International Journal