LEADER 00000nim a22005055a 4500 
003    MWT 
005    20191125100940.0 
006    m     o  h         
007    sz zunnnnnuned 
007    cr nnannnuuuua 
008    181228s2018    xxunnn es      i  n eng d 
020    9781469069555 (sound recording : hoopla Audio Book) 
020    1469069555 (sound recording : hoopla Audio Book) 
029    https://d2snwnmzyr8jue.cloudfront.net/
       gil_9781469069555_180.jpeg 
028 42 MWT12285110 
037    12285110|bMidwest Tape, LLC|nhttp://www.midwesttapes.com 
040    Midwest|erda 
099    eAudiobook hoopla 
099    eAudiobook hoopla 
100 1  Berry, Michael J. A. 
245 10 Data Mining Techniques :|bfor marketing, sales, and 
       customer relationship management|h[Hoopla electronic 
       resource] /|cMichael J.A. Berry, Gordon S. Linoff. 
250    Unabridged. 
264  1 [United States] :|bGildan Media,|c2018. 
264  2 |bMade available through hoopla 
300    1 online resource (1 audio file (38hr., 33 min.)) :
       |bdigital. 
336    spoken word|bspw|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
344    digital|hdigital recording|2rda 
347    data file|2rda 
506    Digital content provided by hoopla. 
511 1  Read by Steve Menasche. 
520    The leading introductory book on data mining, fully 
       updated and revised! When Berry and Linoff wrote the first
       edition of Data Mining Techniques in the late 1990s, data 
       mining was just starting to move out of the lab and into 
       the office and has since grown to become an indispensable 
       tool of modern business. This new edition-more than 50% 
       new and revised-is a significant update from the previous 
       one, and shows you how to harness the newest data mining 
       methods and techniques to solve common business problems. 
       The duo of unparalleled authors share invaluable advice 
       for improving response rates to direct marketing campaigns,
       identifying new customer segments, and estimating credit 
       risk. In addition, they cover more advanced topics such as
       preparing data for analysis and creating the necessary 
       infrastructure for data mining at your company. Features 
       significant updates since the previous edition and updates
       you on best practices for using data mining methods and 
       techniques for solving common business problems Covers a 
       new data mining technique in every chapter along with 
       clear, concise explanations on how to apply each technique
       immediately Touches on core data mining techniques, 
       including decision trees, neural networks, collaborative 
       filtering, association rules, link analysis, survival 
       analysis, and more Provides best practices for performing 
       data mining using simple tools such as Excel Data Mining 
       Techniques, Third Edition covers a new data mining 
       technique with each successive chapter and then 
       demonstrates how you can apply that technique for improved
       marketing, sales, and customer support to get immediate 
       results. 
538    Mode of access: World Wide Web. 
650  0 Data mining. 
650  0 Kunderelationer 
650  0 Neurale netværk 
650  0 Statistiske analysemetoder 
650  0 Afsætning 
650  0 Beslutningsanalyse 
650  0 Data warehouse 
700 1  Linoff, Gordon S. 
710 2  hoopla digital. 
856 40 |uhttps://www.hoopladigital.com/title/
       12285110?utm_source=MARC|zInstantly available on hoopla. 
856 42 |zCover image|uhttps://d2snwnmzyr8jue.cloudfront.net/
       gil_9781469069555_180.jpeg