Obtaining accurate and comprehensible data mining models : an evolutionary approach

Automating the Design of Data Mining Alg

📁 Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

✍ Gisele L. Pappa, Alex Freitas (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, gover

Automating the Design of Data Mining Alg

📁 Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

✍ Gisele L. Pappa, Alex Freitas (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, gover

Automating Data-Driven Modelling of Dyna

📁 Automating Data-Driven Modelling of Dynamical Systems : An Evolutionary Computation Approach

✍ Dhruv Khandelwal 📂 Library 🏛 Springer International Publishing 🌐 English

Evolutionary And Revolutionary Technolog

📁 Evolutionary And Revolutionary Technologies for Mining

✍ Committee on Technologies for the Mining Industry, Committee on Earth Resources, 📂 Library 📅 2002 🌐 English

Report from the Committee on Technologies for the Mining Industry, National Materials Advisory Board, Board on Earth Sciences and Resources, and the Committee on Earth Resources. Softcover.

Human Nature and Public Policy: An Evolu

📁 Human Nature and Public Policy: An Evolutionary Approach: An Evolutionary Approach

✍ Albert Somit, Steven A. Peterson (eds.) 📂 Library 📅 2003 🏛 Palgrave Macmillan US 🌐 English

Uncertainty Modeling for Data Mining: A

📁 Uncertainty Modeling for Data Mining: A Label Semantics Approach

✍ Zengchang Qin, Yongchuan Tang 📂 Library 📅 2015 🏛 Springer 🌐 English

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling un