Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Intelligent Data Analysis: An Introduction
Intelligent Data Analysis: An Introduction
Foundations of Fuzzy Systems
Soft Computing and Fuzzy Logic
IEEE Software
Machine Learning
Towards Process-Oriented Tool Support for Knowledge Discovery in Databases
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
NEFCLASS-J - A JAVA-Based Soft Computing Tool
Intelligent Systems and Soft Computing: Prospects, Tools and Applications
Intelligent Data Analysis: Issues and Opportunities
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Automatic Intelligent Data Analysis in Sensor Networks for iSpace
BT Technology Journal
Towards real-time business intelligence
BT Technology Journal
Being proactive -- analytics for predicting customer actions
BT Technology Journal
Operational risk management with real-time business intelligence
BT Technology Journal
Towards the automation of intelligent data analysis
Applied Soft Computing
Automatic selection of data analysis methods
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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In modern businesses, intelligent data analysis (IDA) is an important aspect of turning data into information and then into action. Data analysis has become a practical area and data analysis methods are nowadays used as tools. This approach to data analysis requires IDA platforms that support users and prevent them from making errors or from using methods in the wrong way. We have developed an IDA platform that automates the data analysis process to a large extent. It uses fuzzy knowledge bases both to match user requirements to features of analysis methods, and to select, configure and execute IDA processes automatically.