▄
▄
▄▄▄ ▐█▄
▄▄█████▓██▓▄▄▄ ▄███▌
─■■── ▄████▀▀▀ ▀▀███▓██ ─────────────────── █████▌■───────────────────────■─
░ ░ ▄████▀ ░░░░░░░░ ▀███▓██ ░░░░░░░░░░░░░░░░ █▓████ ░░░░░░ ▄▄▓██▄░░░░░░░░ ░░░░
▀ ▐██▓█ ████▓█ █▓████▌ ▄▀████▓██
▀ ███▓ ████▓█ ▐▓█████ ▄ ████▓██
████▌ ▄▄▀ ▐████▓▌ ▄▄▄ █▓████ ▐██▓▒▓▓▌
▐█▀▄▄██▌ ▄▌████▓█▐██████▓▄▄ ██▓██▌ █▓▒▒▒▓▌ x!FEAR
▒ ▒▒▒▒▐▌███▓█ ▒▒▒▒▒ ▄▀▀▌████▓█ ▀▀▀█████▓█▄ █▓██▌▒▒▒▒▒▒▒▒▒▒▒▐██▓░░▒█ ▒▒▒▒▒▒▒ ▒
▄██▓▓█ ▐███▓█▌ ▀████▓█▄▀███ ▐██▓▒░▒█
░░░░░ ▐██▓▒▓█▌░░░░░░░ ███▓██ ▄░░░░░ ▀███▓██ ▓██░░░░░░░░░ █▌██▒▒▒▓▌ ░ ░░░░░░
▐█▓▒░▒██ ███▓██ █▀ ████▓█ ▓██▄ ▄██ ▐█▓▒▓▓▌
██▓▒▓▌▓█▄ ▄▄█████▀▄█ ████▓▌ ▀▀███▄▄███▀ ▐██▓▓█
▀ ███▓██ ▀▀██▓███▓▀▀▄█▓▌ ▐████▓ ▀▀▀▀ █▓█▀
░░░░ ▄░▐█▓███▀ ░ ▀▀▀ ▀██▓▓▌░ ░░░░░░░░░░░ ███▓█ ░░░░░░░░░░░░░ ██ ░░░░░░░░░ ░
░░░░ ▀███▀▀ ░░░░░░░░░░▐█▓▒▓█ ░░░░░░░░░░░░░███▓█ ░░░░ ░░░░░░░░ █ ░░░░░░░░░
────────────────■───── █▓▒░▒█▌ ────────── ▐███▓▌────────────── ▌ ──────■──────
▒▒▒ ▒ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒ ██▓▒▓▌▓▄ ▒▒▒▒▒▒▒▒▒ ███▓█ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
────────────────── ■▀ ▄███▓██ ▓█▄ ──────▄███▓█ ─────■■─────────────────────■─
▀███▓█▄ ▀███▄▄▄█████▓▀
▀▀ ▀▀███▓▀▀▀
┌────────────────────────────────────────────────────────────────────────────┐
│■■ » RELEASE iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ TiTLE : Data Mining with Computational Intelligence (Advanced │░│
│░│ Information and Knowledge Processing) (Hardcover) │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ AUTHOR : Lipo Wang │░│
│░├────────────────────────────────────────────────────────────────────────┤░│
│░│ PUBLISHER : Springer │░│
│░├────────────────────────────────────┬───────────────────────────────────┤░│
│░│ iSBN : 3540245227 │ MAKER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ PAGES : 276 Pages │ PACKAGER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ EDiTiON : September 19, 2005 │ SUPPLiER : Team DDU │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ LANGUAGE : ENGLISH │ FORMAT : PDF │░│
│░├────────────────────────────────────┼───────────────────────────────────┤░│
│░│ RLS DATE : 02/04/06 │ SiZE : 4.50 MB │░│
┌─┴────────────────────────────────────┴───────────────────────────────────┴─┐
│■■ » RELEASE NOTES « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ [Product Information] │░│
│░│ │░│
│░│ Finding information hidden in data is as theoretically difficult as │░│
│░│ it is practically important. With the objective of discovering │░│
│░│ unknown patterns from data, the methodologies of data mining were │░│
│░│ derived from statistics, machine learning, and artificial │░│
│░│ intelligence, and are being used successfully in application areas │░│
│░│ such as bioinformatics, banking, retail, and many others. Wang and │░│
│░│ Fu present in detail the state of the art on how to utilize fuzzy │░│
│░│ neural networks, multilayer perceptron neural networks, radial │░│
│░│ basis function neural networks, genetic algorithms, and support │░│
│░│ vector machines in such applications. They focus on three main data │░│
│░│ mining tasks: data dimensionality reduction, classification, and │░│
│░│ rule extraction. The book is targeted at researchers in both │░│
│░│ academia and industry, while graduate students and developers of │░│
│░│ data mining systems will also profit from the detailed algorithmic │░│
│░│ descriptions. │░│
│░│ │░│
│░│ │░│
│░│ [Install Information] │░│
│░│ │░│
│░│ Unpack it ! │░│
│░│ │░│
│░│ [For more information] │░│
│░│ │░│
│░│ http://www.amazon.com/exec/obidos/tg/detail/-/3540245227/ │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ » CONTACT iNFORMATiON « ■■│
└─┬────────────────────────────────────────────────────────────────────────┬─┘
│░│ │░│
│░│ Nothing but suppliers ATM! │░│
│░│ │░│
│░│ If you wish to contact us, you may email us at: │░│
│░│ Email: teamddu[at]land[dot]ru │░│
│░│ │░│
┌─┴────────────────────────────────────────────────────────────────────────┴─┐
│■■ TEAM DDU ( Day Day UP ) 2004 x!FEAR ■■│
└────────────────────────────────────────────────────────────────────────────┘