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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Cluster Analysis for Data Mining and System Identification (Record no. 425632)

MARC details
000 -LEADER
fixed length control field 04365nam a22005295i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9783764379889
-- 978-3-7643-7988-9
024 7# -
-- 10.1007/978-3-7643-7988-9
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- T57-57.97
072 #7 -
-- PBW
-- bicssc
072 #7 -
-- MAT003000
-- bisacsh
072 #7 -
-- PBW
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Abonyi, János.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Cluster Analysis for Data Mining and System Identification
Medium [electronic resource] /
Statement of responsibility, etc by János Abonyi, Balázs Feil.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture Basel :
Name of producer, publisher, distributor, manufacturer Birkhäuser Basel,
Date of production, publication, distribution, manufacture 2007.
300 ## -
-- XVIII, 306 p.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# -
-- Classical Fuzzy Cluster Analysis -- Visualization of the Clustering Results -- Clustering for Fuzzy Model Identification — Regression -- Fuzzy Clustering for System Identification -- Fuzzy Model based Classifiers -- Segmentation of Multivariate Time-series.
520 ## -
-- This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification, regression and visualization of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model order of nonlinear input-output black box models, and the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and process engineering practice. The book is aimed primarily at practitioners, researches, and professionals in statistics, data mining, business intelligence, and systems engineering, but it is also accessible to graduate and undergraduate students in applied mathematics, computer science, electrical and process engineering. Familiarity with the basics of system identification and fuzzy systems is helpful but not required. Key features: - Detailed overview of the most powerful algorithms and approaches for data mining and system identification is presented. - Extensive references give a good overview of the current state of the application of computational intelligence in data mining and system identification, and suggest further reading for additional research. - Numerous illustrations to facilitate the understanding of ideas and methods presented. - Supporting MATLAB files, available at the website www.fmt.uni-pannon.hu/softcomp create a computational platform for exploration and illustration of many concepts and algorithms presented in the book.
650 #0 -
-- Mathematics.
650 #0 -
-- Mathematical statistics.
650 #0 -
-- Statistics.
650 14 -
-- Applications of Mathematics.
-- http://scigraph.springernature.com/things/product-market-codes/M13003
650 24 -
-- Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 -
-- Statistics and Computing/Statistics Programs.
-- http://scigraph.springernature.com/things/product-market-codes/S12008
650 24 -
-- Statistics for Business/Economics/Mathematical Finance/Insurance.
-- http://scigraph.springernature.com/things/product-market-codes/S17010
650 24 -
-- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17020
650 24 -
-- Statistics for Life Sciences, Medicine, Health Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17030
700 1# -
-- Feil, Balázs.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9783764391744
776 08 -
-- Printed edition:
-- 9783764379872
856 40 -
-- https://doi.org/10.1007/978-3-7643-7988-9
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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