机读格式显示(MARC)

• 000 01765cam a2200397 i 4500

• 001 0000865056

• 003 CAL

• 005 20220926153900.0

• 008 200521s2020 pau b 001 0 eng

• 010 __ |a 2020018689

• 020 __ |a 9781799857815: |c CNY1501.00 |q hardcover

• 020 __ |a 9781799857822 |q paperback

• 020 __ |z 9781799857839 |q electronic book

• 040 __ |a DLC |b eng |c DLC |d BJZK |e rda

• 042 __ |a pcc

• 050 00 |a HF5548.2 |b .I45368 2020

• 082 00 |a 658.4/72 |2 23

• 090 __ |a F272.7/BA1

• 093 __ |a F272.7 |2 5

• 245 00 |a Integration challenges for analytics, business intelligence, and data mining / |c Ana Azevedo and Manuel Filipe Santos, editors.

• 260 __ |a Hershey : |b Engineering Science Reference, |c 2020.

• 300 __ |a xix, 250 pages ; |c 28 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 0_ |a Advances in business information systems and analytics (ABISA) book series, |x 2327-3275

• 490 0_ |a Premier reference source

• 504 __ |a Includes bibliographical references and index.

• 520 __ |a "This book provides insights concerning the integration of data mining in business intelligence and analytics systems, increasing the understanding of using data mining in the context of business intelligence and analytics"-- |c Provided by publisher.

• 650 _0 |a Business enterprises |x Data processing.

• 650 _0 |a Business intelligence.

• 650 _0 |a Data mining.

• 700 1_ |a Azevedo, Ana, |e editor.

• 700 1_ |a Santos, Manuel Filipe, |e editor.

• 776 08 |i Online version: |t Integration challenges for analytics, business intelligence, and data mining |d Hershey : Engineering Science Reference, 2020. |z 9781799857839 |w (DLC) 2020018690

• 920 __ |a 233030 |z 1