|
|
|
|
| LEADER |
00000nam a22000005i 4500 |
| 001 |
b3301444 |
| 003 |
MWH |
| 005 |
20191220124519.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100806s2005 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783540323938
|
| 024 |
7 |
|
|a 10.1007/b104039
|2 doi
|
| 035 |
|
|
|a (DE-He213)978-3-540-32393-8
|
| 050 |
|
4 |
|a E-Book
|
| 072 |
|
7 |
|a UY
|2 bicssc
|
| 072 |
|
7 |
|a COM014000
|2 bisacsh
|
| 072 |
|
7 |
|a UY
|2 thema
|
| 072 |
|
7 |
|a UYA
|2 thema
|
| 245 |
1 |
0 |
|a Foundations and Advances in Data Mining
|h [electronic resource] /
|c edited by Wesley Chu, Tsau Young Lin.
|
| 250 |
|
|
|a 1st ed. 2005.
|
| 264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2005.
|
| 300 |
|
|
|a X, 342 p.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 180
|
| 490 |
1 |
|
|a Springer eBook Collection
|
| 505 |
0 |
|
|a The Mathematics of Learning -- Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules -- A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set -- A New Theoretical Framework for K-means-type Clustering -- Clustering via Decision Tree Construction -- Incremental Mining on Association Rules -- Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets -- Sequential Pattern Mining by Pattern-Growth: Principles and Extensions -- Web Page Classification -- Web Mining – Concepts, Applications, and Research Directions -- Privacy-Preserving Data Mining.
|
| 520 |
|
|
|a With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.
|
| 590 |
|
|
|a Loaded electronically.
|
| 590 |
|
|
|a Electronic access restricted to members of the Holy Cross Community.
|
| 650 |
|
0 |
|a Computers.
|
| 650 |
|
0 |
|a Applied mathematics.
|
| 650 |
|
0 |
|a Engineering mathematics.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Information theory.
|
| 690 |
|
|
|a Electronic resources (E-books)
|
| 700 |
1 |
|
|a Chu, Wesley.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Lin, Tsau Young.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 830 |
|
0 |
|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 180
|
| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/b104039
|3 Click to view e-book
|t 0
|
| 907 |
|
|
|a .b33014449
|b 04-18-22
|c 02-26-20
|
| 998 |
|
|
|a he
|b 02-26-20
|c m
|d @
|e -
|f eng
|g gw
|h 0
|i 1
|
| 912 |
|
|
|a ZDB-2-ENG
|
| 950 |
|
|
|a Engineering (Springer-11647)
|
| 902 |
|
|
|a springer purchased ebooks
|
| 903 |
|
|
|a SEB-COLL
|
| 945 |
|
|
|f - -
|g 1
|h 0
|j - -
|k - -
|l he
|o -
|p $0.00
|q -
|r -
|s b
|t 38
|u 0
|v 0
|w 0
|x 0
|y .i22146064
|z 02-26-20
|
| 999 |
f |
f |
|i 4e0f1d31-b9f9-5ee8-95f2-72a9cffa68e4
|s fa953549-f3ea-55a9-8261-d83da95235da
|t 0
|
| 952 |
f |
f |
|p Online
|a College of the Holy Cross
|b Main Campus
|c E-Resources
|d Online
|t 0
|e E-Book
|h Library of Congress classification
|i Elec File
|