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• 000 01924cam a2200421 i 4500

• 001 0000589052

• 005 20160414153100.0

• 008 150612t20152015flua f b 001 0 eng d

• 010 __ |a 2015413014

• 020 __ |a 9781482212365 (hbk.) : |c CNY701.99

• 020 __ |a 1482212366 (hbk.)

• 020 __ |z 9781482212389 (PDF ebook)

• 035 __ |a (OCoLC)ocn907459213

• 040 __ |a StDuBDS |b eng |c CDX |e rda |d CDX |d OCLCO |d YDXCP |d CRCPR |d DLC

• 042 __ |a lccopycat

• 050 00 |a HD30.2 |b .K63625 2015

• 082 04 |a 658.403802856312 |2 23

• 090 __ |a G302/BO1

• 093 __ |a G302 |2 5

• 245 00 |a Knowledge discovery process and methods to enhance organizational performance / |c edited by Kweku-Muata Osei-Bryson, Virginia Commonwealth University, School of Business, Corlane Barclay, University of Technology, Jamaica.

• 246 3_ |a Knowledge discovery process and methods to enhance organisational performance

• 260 __ |a Boca Raton, FL : |b CRC Press, Taylor & Francis Group, |c c2015

• 300 __ |a xviii, 386 pages : |b illustrations (black and white) ; |c 24 cm

• 336 __ |a text |2 rdacontent

• 336 __ |a still image |2 rdacontent

• 337 __ |a unmediated |2 rdamedia

• 338 __ |a volume |2 rdacarrier

• 500 __ |a "An Auerbach book."

• 504 __ |a Includes bibliographical references and index.

• 505 0_ |a Section 1. Foundations -- section 2. KDDM techniques -- section 3. KDDM and organizational performance -- section 4. Applications of KDDM -- section 5. Data mining algorithms.

• 520 8_ |a Offering insights into the scope of data mining initiatives, this text examines their socio-economic and legal implications to stakeholders, organizations and society.

• 650 _0 |a Knowledge management.

• 650 _0 |a Data mining.

• 650 _0 |a Business |x Data processing.

• 650 _7 |a Business and Management. |2 ukslc

• 700 1_ |a Osei-Bryson, Kweku-Muata, |e editor.

• 700 1_ |a Barclay, Corlane, |e editor.

• 920 __ |a 233030 |z 1