Statistical analysis with missing data
Statistical analysis with missing data
Patterns in statistical strategy
Artificial intelligence and statistics
A DIY guide to statistical strategy
Artificial intelligence and statistics
An alphabet for statisticians' expert systems
Artificial intelligence and statistics
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Surround-screen projection-based virtual reality: the design and implementation of the CAVE
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Noise and uncertainty management in intelligent data modeling
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Seven methods for transforming corporate data into business intelligence
Seven methods for transforming corporate data into business intelligence
From the I-WAY to the National Technology Grid
Communications of the ACM
A nationwide parallel computing environment
Communications of the ACM
Communications of the ACM
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Machine Learning
Data Quality for the Information Age
Data Quality for the Information Age
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Statistical Themes and Lessons for Data Mining
Data Mining and Knowledge Discovery
Applying classification algorithms in practice
Statistics and Computing
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
Feature Transformation and Subset Selection
IEEE Intelligent Systems
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Intelligent Data Analysis: Issues and Opportunities
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
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Intelligent data analysis (IDA) is an interdisciplinary study concernedwith the effective analysis of data. In response to the challengeof extracting useful information from large quantities of online data, much work has appeared in the intersection of artificial intelligence, database, high-performance computing, pattern recognition, and statistics. Intelligent systems for data analysis have been developed in different applicationfields and much progress has been made.This editorial looks into a few key IDA topics,introduces the papers in this special issue, and identifies those challengingand fruitful areas for further research.