Borrow it
- African Studies Library
- Alumni Medical Library
- Astronomy Library
- Fineman and Pappas Law Libraries
- Frederick S. Pardee Management Library
- Howard Gotlieb Archival Research Center
- Mugar Memorial Library
- Music Library
- Pikering Educational Resources Library
- School of Theology Library
- Science & Engineering Library
- Stone Science Library
The Resource Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
Resource Information
The item Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
- Summary
- "Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about how leading companies across North America are using data mining to beat the competition; how each tool works, and how to pick the right one for the job; seven powerful techniques - cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets, and how to prepare data sources for data mining, and how to evaluate and use the results you get." "Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems."--Jacket
- Language
- eng
- Extent
- x, 454 p.
- Contents
-
- 5.
- Data Mining Methodology
- 6.
- Measuring the Effectiveness of Data Mining
- 7.
- Overview of Data Mining Techniques
- 8.
- Market Basket Analysis
- 9.
- Memory-Based Reasoning
- 1.
- 10.
- Automatic Cluster Detection
- 11.
- Link Analysis
- 12.
- Decision Trees
- 13.
- Artificial Neural Networks
- 14.
- Genetic Algorithms
- Why Data Mining?
- 15.
- Data Mining and the Corporate Data Warehouse
- 16.
- Where Does OLAP Fit In?
- 17.
- Choosing the Right Tool for the Job
- 18.
- Putting Data Mining to Work
- 2.
- Virtuous Cycle of Data Mining
- 3.
- Virtuous Cycle in Practice
- 4.
- What Can Data Mining Do?
- Isbn
- 9780471179801
- Label
- Data mining techniques : for marketing, sales, and customer support
- Title
- Data mining techniques
- Title remainder
- for marketing, sales, and customer support
- Statement of responsibility
- Michael J.A. Berry, Gordon Linoff
- Subject
-
- Business -- Data processing
- Data Mining
- Data mining
- Data mining
- Data mining
- Data-Warehouse-Konzept
- Exploration de données (Informatique)
- Exploration de données.
- Gestion -- Informatique
- Gestion -- Informatique.
- Klantenservice
- Marketing
- Marketing -- Data processing
- Marketing -- Data processing
- Marketing -- Informatique
- Marketing -- Informatique.
- Business -- Data processing
- Language
- eng
- Summary
- "Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about how leading companies across North America are using data mining to beat the competition; how each tool works, and how to pick the right one for the job; seven powerful techniques - cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets, and how to prepare data sources for data mining, and how to evaluate and use the results you get." "Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems."--Jacket
- Action
- committed to retain for EAST
- Cataloging source
- DLC
- http://library.link/vocab/creatorName
- Berry, Michael J. A
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HF5415.125
- LC item number
- .B47 1997
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Linoff, Gordon
- http://library.link/vocab/subjectName
-
- Data mining
- Marketing
- Business
- Data mining
- Marketing
- Klantenservice
- Exploration de données (Informatique)
- Marketing
- Gestion
- Marketing
- Gestion
- Exploration de données.
- Data Mining
- Data-Warehouse-Konzept
- Business
- Data mining
- Marketing
- Label
- Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
- Bibliography note
- Includes bibliographical references (p. 443-444) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 5.
- Data Mining Methodology
- 6.
- Measuring the Effectiveness of Data Mining
- 7.
- Overview of Data Mining Techniques
- 8.
- Market Basket Analysis
- 9.
- Memory-Based Reasoning
- 1.
- 10.
- Automatic Cluster Detection
- 11.
- Link Analysis
- 12.
- Decision Trees
- 13.
- Artificial Neural Networks
- 14.
- Genetic Algorithms
- Why Data Mining?
- 15.
- Data Mining and the Corporate Data Warehouse
- 16.
- Where Does OLAP Fit In?
- 17.
- Choosing the Right Tool for the Job
- 18.
- Putting Data Mining to Work
- 2.
- Virtuous Cycle of Data Mining
- 3.
- Virtuous Cycle in Practice
- 4.
- What Can Data Mining Do?
- Dimensions
- 24 cm.
- Extent
- x, 454 p.
- Isbn
- 9780471179801
- Isbn Type
- (pbk. : alk. paper)
- Lccn
- 97013601
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- ill.
- System control number
-
- (OCoLC)36755821
- (OCoLC)ocm36755821
- Label
- Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
- Bibliography note
- Includes bibliographical references (p. 443-444) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 5.
- Data Mining Methodology
- 6.
- Measuring the Effectiveness of Data Mining
- 7.
- Overview of Data Mining Techniques
- 8.
- Market Basket Analysis
- 9.
- Memory-Based Reasoning
- 1.
- 10.
- Automatic Cluster Detection
- 11.
- Link Analysis
- 12.
- Decision Trees
- 13.
- Artificial Neural Networks
- 14.
- Genetic Algorithms
- Why Data Mining?
- 15.
- Data Mining and the Corporate Data Warehouse
- 16.
- Where Does OLAP Fit In?
- 17.
- Choosing the Right Tool for the Job
- 18.
- Putting Data Mining to Work
- 2.
- Virtuous Cycle of Data Mining
- 3.
- Virtuous Cycle in Practice
- 4.
- What Can Data Mining Do?
- Dimensions
- 24 cm.
- Extent
- x, 454 p.
- Isbn
- 9780471179801
- Isbn Type
- (pbk. : alk. paper)
- Lccn
- 97013601
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- ill.
- System control number
-
- (OCoLC)36755821
- (OCoLC)ocm36755821
Subject
- Business -- Data processing
- Data Mining
- Data mining
- Data mining
- Data mining
- Data-Warehouse-Konzept
- Exploration de données (Informatique)
- Exploration de données.
- Gestion -- Informatique
- Gestion -- Informatique.
- Klantenservice
- Marketing
- Marketing -- Data processing
- Marketing -- Data processing
- Marketing -- Informatique
- Marketing -- Informatique.
- Business -- Data processing
Library Locations
-
African Studies LibraryBorrow it771 Commonwealth Avenue, 6th Floor, Boston, MA, 02215, US42.350723 -71.108227
-
-
Astronomy LibraryBorrow it725 Commonwealth Avenue, 6th Floor, Boston, MA, 02445, US42.350259 -71.105717
-
Fineman and Pappas Law LibrariesBorrow it765 Commonwealth Avenue, Boston, MA, 02215, US42.350979 -71.107023
-
Frederick S. Pardee Management LibraryBorrow it595 Commonwealth Avenue, Boston, MA, 02215, US42.349626 -71.099547
-
Howard Gotlieb Archival Research CenterBorrow it771 Commonwealth Avenue, 5th Floor, Boston, MA, 02215, US42.350723 -71.108227
-
-
Music LibraryBorrow it771 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US42.350723 -71.108227
-
Pikering Educational Resources LibraryBorrow it2 Silber Way, Boston, MA, 02215, US42.349804 -71.101425
-
School of Theology LibraryBorrow it745 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US42.350494 -71.107235
-
Science & Engineering LibraryBorrow it38 Cummington Mall, Boston, MA, 02215, US42.348472 -71.102257
-
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Data-mining-techniques--for-marketing-sales/Bhb_AoVtiL0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Data-mining-techniques--for-marketing-sales/Bhb_AoVtiL0/">Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Data-mining-techniques--for-marketing-sales/Bhb_AoVtiL0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Data-mining-techniques--for-marketing-sales/Bhb_AoVtiL0/">Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>
