DataMining - Introduction to Data Mining and Knowledge...

Info icon This preview shows pages 1–5. Sign up to view the full content.

View Full Document Right Arrow Icon
Introduction to Data Mining and Knowledge Discovery Third Edition by Two Crows Corporation
Image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Introduction to Data Mining and Knowledge Discovery, Third Edition ISBN: 1-892095-02-5 © 1999 by Two Crows Corporation. No portion of this document may be reproduced without express permission. For permission, please contact: Two Crows Corporation, 10500 Falls Road, Potomac, MD 20854 (U.S.A.). Phone: 1-301-983-9550; fax: 1-301-983-3554. Web address: www.twocrows.com You’re ready to move ahead in data mining... but where do you begin? Data Mining ’99: Technology Report is an essential guide. Before your staff spends hours gathering information from vendors — and before you hire a consultant — save money by using this report to focus on the products and approaches best suited for your organization’s needs. Data Mining ’99: Technology Report contains a clear, non-technical overview of data mining techniques and their role in knowledge discovery, PLUS detailed vendor specifications and feature descriptions for over two dozen data mining products (check our website for the complete list). It also comes with CD-ROMs that contain selected product demos and vendor-provided case histories. The Technology Report is an extraordinary value for only $695 (additional copies $495 each). Data Mining ’99 is the newest report from Two Crows Corporation. The previous edition (Data Mining: Products, Applications & Technologies) sold out its printing, with purchasers around the world in banking, insurance, telecom, retailing, government, consulting, academia and information systems. We ship Data Mining ’99: Technology Report by air express (FREE within the United States). We’re confident you’ll find this the most useful, comprehensive overview of data mining available anywhere. Contact us now to order your copy of Data Mining ’99: Technology Report. We accept MasterCard, VISA and American Express. Orders from Maryland, please add 5% sales tax. Academic purchasers: ask about special pricing. Two Crows Corporation 10500 Falls Road Potomac, MD 20854 (301) 983-9550 www.twocrows.com
Image of page 2
TABLE OF CONTENTS Introduction Data mining: In brief ................................................................... 1 Data mining: What it can’t do ..................................................... 1 Data mining and data warehousing ............................................. 2 Data mining and OLAP ............................................................... 3 Data mining, machine learning and statistics .............................. 4 Data mining and hardware/software trends ................................. 4 Data mining applications ............................................................. 5 Successful data mining ................................................................ 5 Data Description for Data Mining Summaries and visualization ....................................................... 6 Clustering .................................................................................... 6 Link analysis ............................................................................... 7 Predictive Data Mining A hierarchy of choices ................................................................. 9 Some terminology ..................................................................... 10 Classification ............................................................................. 10 Regression ................................................................................. 10 Time series ................................................................................ 10 Data Mining Models and Algorithms Neural networks ........................................................................ 11 Decision trees ............................................................................ 14 Multivariate Adaptive Regression Splines (MARS) ................. 17 Rule induction ........................................................................... 17 K-nearest neighbor and memory-based reasoning (MBR) ....... 18 Logistic regression .................................................................... 19 Discriminant analysis ................................................................ 19 Generalized Additive Models (GAM) ....................................... 20 Boosting .................................................................................... 20 Genetic algorithms .................................................................... 21 The Data Mining Process Process Models ......................................................................... 22 The Two Crows Process Model ................................................ 22 Selecting Data Mining Products Categories .................................................................................. 34 Basic capabilities ....................................................................... 34 Summary ............................................................................................ 36
Image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
R ELATED R EADINGS Data Mining ’99: Technology Report,
Image of page 4
Image of page 5
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern