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Data analysis using SQL and Excel

Data analysis using SQL and Excel (Loan 1 times)

Material type
단행본
Personal Author
Linoff, Gordon.
Title Statement
Data analysis using SQL and Excel / Gordon S. Linoff.
Publication, Distribution, etc
Indianapolis, Ind. :   Wiley Pub. ,   c2008.  
Physical Medium
xli, 645 p. ; 24 cm.
ISBN
9780470099513 (paper/website)
General Note
Includes index.  
Subject Added Entry-Topical Term
SQL (Computer program language) Querying (Computer science) Data mining.
000 00870camuu22002778a 4500
001 000045423205
005 20080222133854
008 070625s2008 inu 001 0 eng
010 ▼a 2007026313
020 ▼a 9780470099513 (paper/website)
035 ▼a (KERIS)REF000013148379
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a QA76.73.S67 ▼b L56 2007
082 0 0 ▼a 005.75/85 ▼2 22
090 ▼a 005.7585 ▼b L758d
100 1 ▼a Linoff, Gordon.
245 1 0 ▼a Data analysis using SQL and Excel / ▼c Gordon S. Linoff.
260 ▼a Indianapolis, Ind. : ▼b Wiley Pub. , ▼c c2008.
300 ▼a xli, 645 p. ; ▼c 24 cm.
500 ▼a Includes index.
630 0 0 ▼a Microsoft Excel (Computer file)
650 0 ▼a SQL (Computer program language)
650 0 ▼a Querying (Computer science)
650 0 ▼a Data mining.
945 ▼a KINS

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 005.7585 L758d Accession No. 121164301 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Foreword.

Acknowledgments.

Introduction.

Chapter 1 A Data Miner Looks at SQL.

Chapter 2 What’s In a Table? Getting Started with Data Exploration.

Chapter 3 How Different Is Different?

Chapter 4 Where Is It All Happening? Location, Location, Location.

Chapter 5 It’s a Matter of Time.

Chapter 6 How Long Will Customers Last? Survival Analysis to Understand Customers and Their Value.

Chapter 7 Factors Affecting Survival: The What and Why of Customer Tenure.

Chapter 8 Customer Purchases and Other Repeated Events.

Chapter 9 What’s in a Shopping Cart? Market Basket Analysis and Association Rules.

Chapter 10 Data Mining Models in SQL.

Chapter 11 The Best-Fit Line: Linear Regression Models.

Chapter 12 Building Customer Signatures for Further Analysis.

Appendix Equivalent Constructs Among Databases.

Index.


Information Provided By: : Aladin

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