Data Mining
- Information, Guides, Bibliography, and References


Recent popular references on  Data Mining :

Developing Bioinformatics Computer Skills by Cynthia Gibas

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations by Ian H. Witten

Beginning Perl for Bioinformatics by James Tisdall

Data Mining: Concepts and Techniques by Jiawei Han

Amazon Hacks: 100 Industrial-Strength Tips and Tools by Paul Bausch

Data Mining Techniques : For Marketing, Sales, and Customer Support by Michael J. A. Berry

Principles of Data Mining (Adaptive Computation and Machine Learning) by David J. Hand

Mining the Web: Analysis of Hypertext and Semi Structured Data by Soumen Chakrabarti

Data Mining with Microsoft SQL Server 2000 Technical Reference by Claude Seidman

Data Mining: Introductory and Advanced Topics by Margaret H. Dunham

Mastering Data Mining: The Art and Science of Customer Relationship Management by Michael J. A. Berry

Data Mining : Concepts, Models, Methods, and Algorithms by Mehmed Kantardzic

Data Mining: A Tutorial Based Primer by Richard Roiger

Business Modeling and Data Mining by Dorian Pyle

Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management by Olivia Parr Rud

 

3. Active mining : new directions of data mining. Frontiers in artificial intelligence and applications. 2002, Burke, VA: IOS Press. p. [edited by] Hiroshi Motoda.

4. IEEE international conference on data mining. 2003, Los Alamitos, CA: IEEE Computer Society. p. cm. main themes:

6. Proceedings of the third siam international conference on data mining. 2003, Philadelphia, PA: Society for Industrial and Applied Mathematics. 345 p. edited by Daniel Barbara, Chandrika Kamath.

7. Abbass, H.A., R.A. Sarker, and C.S. Newton, Data mining : a heuristic approach. 2002, Hershey: Idea Group. iv, 300 p. [edited by] Hussein A. Abbass, Ruhul A. Sarker, Charles S. Newton.

10. Adriaans, P., D. Zantinge, and Syllogic (Firm), Data mining. 1996, Harlow, England ; Reading, Mass.: Addison-Wesley. xi, 158 p. Pieter Adriaans, Dolf Zantinge.

11. Agrawal, R. and P. Stolorz, Proceedings. 1998, Menlo Park, Calif.: AAAI Press. xii, 382 p. International Conference on Knowledge Discovery & Data Mining (4th : 1998 : New York, N.Y.)

16. Baragoin, C. and International Business Machines Corporation. International Technical Support Organization., Mining your own business in telecoms using DB2 intelligent miner for data. 1st ed. IBM redbooks. 2001, San Jose, Calif.: International Technical Support Organization. x, 171 p. [Corinne Baragoin ... [et al.]].

23. Berson, A. and S.J. Smith, Data warehousing, data mining, and OLAP. 1997, New York: McGraw-Hill. xxvi, 612 p. Alex Berson, Stephen J. Smith.

25. Bettini, C., S. Jajodia, and S. Wang, Time granularities in databases, data mining, and temporal reasoning. 2000, Berlin ; New York: Springer. xi, 230 p. Claudio Bettini, Sushil Jajodia, Sean Wang.

29. Bozdogan, H., Statistical data mining and knowledge discovery. 2004, Boca Raton, FL: Chapman & Hall/CRC. 588 p. edited by Hamparsum Bozdogan.

32. Cabena, P., Discovering data mining : from concept to implementation. 1998, Upper Saddle River, N.J.: Prentice Hall. xix, 195 p. Peter Cabena ... [et al.].

36. Chaudhuri, S., D. Madigan, and Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining., KDD-99 : proceedings, August 15-18, 1999, San Diego, California, USA. 1999, New York, NY, USA: Association for Computing Machinery. xv, 439 p. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (5th : 1999 : San Diego, Calif.)

49. Dagli, C.H., Smart engineering system design : neural networks, fuzzy logic, evolutionary programming, data mining and complex systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2000), held November 5-8, 2000, in St. Louis, Missouri, U.S.A. ASME Press series on intelligent engineering systems through artificial neural networks. 2000, New York: ASME Press. xx, 1128 p. Artificial Neural Networks in Engineering Conference (2000 : St. Louis, Missouri)

50. Dasarathy, B.V. and Society of Photo-optical Instrumentation Engineers., Data mining and knowledge discovery : theory, tools, and technology : 5-6 April 1999, Orlando, Florida. 1999, Bellingham, Wash., USA: SPIE. vii, 236 p. Belur V. Dasarathy, chair/editor ; sponsored ... by SPIE--The International Society for Optical Engineering.

51. Dasarathy, B.V. and Society of Photo-optical Instrumentation Engineers., Data mining and knowledge discovery : theory, tools, and technology II : 24-25 April, 2000, Orlando, Florida. 2000, Bellingham, Washington: SPIE. x, 428 p. Belur V. Dasarathy, chair/editor ; sponsored and published by SPIE--The International Society for Optical Engineering.

52. Dasarathy, B.V. and Society of Photo-optical Instrumentation Engineers., Data mining and knowledge discovery : theory, tools, and technology III : 16-17 April 2001, Orlando, USA. 2001, Bellingham, Wash.: SPIE. x, 334 p. Belur V. Dasarathy, chair/editor ; sponsored and published by SPIE--the International Society for Optical Engineering.

53. Dasarathy, B.V. and Society of Photo-optical Instrumentation Engineers., Data mining and knowledge discovery : theory, tools, and technology IV : 1-4 April 2001, Orlando, [Florida] USA. 2002, Bellingham, Wash., USA: SPIE. xii, 474 p. Belur V. Dasarathy, chair/editor ; sponsored ... by SPIE--The International Society for Optical Engineering.

54. Dasarathy, B.V. and Society of Photo-optical Instrumentation Engineers., Data mining and knowledge discovery : theory, tools, and technology V : 21-22 April, 2003, Orlando, Florida, USA. 2003, Bellingham, Wash.: SPIE. x, 288 p. Belur V. Dasarathy, chair/editor ; sponsored and published by SPIE--The International Society for Optical Engineering.

56. David, J.S. and P.J. Steinbart, Data warehousing and data mining : opportunities for internal auditors. 2000, Altamonte Springs, Fla.: Institute of Internal Auditors Research Foundation. xi, 133 p. by Julie Smith David and Paul John Steinbart.

58. DeAngelis, M.C., Data modeling with ERwin. 2000, Indianapolis, Ind.: Sams. xiii, 410 p. M. Carla DeAngelis.

61. Dillon, P.M. and Information Management Forum., Data mining : transforming business data into competitive advantage & intellectual capital. Technology research report, T-401. 1998, [Atlanta, Ga.]: Information Management Forum. ii, 49 p. Patrick Dillon.

64. Dunham, M.H., Data mining introductory and advanced topics. 2003, Upper Saddle River, N.J.: Prentice Hall/Pearson Education. xiii, 315 p. Margaret H. Dunham.

66. Ebecken, N.F.F. and C.A. Brebbia, Data mining II. 2000, Southampton ; Boston: WIT Press. 631 p. International Conference on Data Mining (2nd : 2000 : Cambridge, England)

69. Ester, M. and J. Sander, Knowledge discovery in databases : Techniken und Anwendungen. 2000, Berlin ; New York: Springer. viii, 281 p. Martin Ester, Jčorg Sander.

70. Fayyad, U.M. and R. Uthurusamy, KDD-95 : proceedings. 1995, Menlo Park, Calif.: AAAI Press. xiv, 345 p. International Conference on Knowledge Discovery & Data Mining (1st : 1995 : Montrâeal, Quâebec)

74. Fong, J. and IFIP WG 2.6., Knowledge management & intelligent enterprises. 2001, Singapore New Jersey: World Scientific. viii, 221 p. IFIP WG 2.6 Working Conference on Data Semantics (9th : 2001 : Hong Kong, China)

83. Groth, R., Data mining : a hands-on approach for business professionals. The Data Warehousing Institute series from Prentice Hall PTR. 1998, Upper Saddle River, N.J.: Prentice Hall PTR. xxix, 264 p. Robert Groth

84. Groth, R., Data mining : building competitive advantage. 2000, Upper Saddle River, NJ: Prentice Hall PTR. xxvi, 299 p. Robert Groth.

86. Han, J. and M. Kamber, Data mining : concepts and techniques. The Morgan Kaufmann series in data management systems. 2001, San Francisco: Morgan Kaufmann Publishers. xxiv, 550 p. Jiawei Han and Micheline Kamber.

92. Holvast, J., Het gebruik van persoonlijkheidsprofielen in de publieke sector. 2001, Den Haag: Sdu. 179 p. Jan Holvast.

93. International Business Machines Corporation., Enhance your business applications : simple integration of advanced data mining functions. 2002, [Armonk, N.Y.]: IBM. xxiv, 318 p. ill. ; 23 cm.

96. Kantardzic, M., Data mining : concepts, models, methods, and algorithms. 2003, Hoboken, NJ: Wiley-Interscience : IEEE Press. xii, 345 p. Mehmed Kantardzic.

97. Keim, D., Visual support for query specification and data mining. 1995, Aachen: Verlag Shaker. 243 p. Daniel Keim

98. Keim, D., Visual support for query specification and data mining. Berichte aus der Informatik,. 1995, Aachen: Verlag Shaker. 243 p. Daniel Keim.

99. Kempster, M. and Association for Information and Image Management International., Mining the document warehouse. 1998, Silver Spring, MD: Association for Information and Image Management International. iv, 88 p. by Mark Kempster.

100. Kennedy, R.L., Solving data mining problems through pattern recognition. The Data Warehousing Institute series from Prentice Hall PTR. 1997, Upper Saddle River, N.J.: Prentice Hall PTR. 1 v. (various pagings) by Ruby L. Kennedy ... [et al.].

101. Kčuppers, B., Data Mining in der Praxis : ein Ansatz zur Nutzung der Potentiale von Data Mining im betrieblichen Umfeld. 1999, Frankfurt am Main ; New York: P. Lang. 173 p. Bertram Kčuppers.

102. King, E., Data warehousing and data mining : implementing strategic knowledge management. 1st ed. 1999, Charleston, SC: Computer Technology Research Co. vi, 179 p. Elliot King.

108. Kudyba, S. and R. Hoptroff, Data mining and business intelligence : a guide to productivity. 2001, Hershey [PA]: Idea Group Pub. iv, 166 p. Stephan Kudyba, Richard Hoptroff.

109. Kumar, V., C. Kamath, and R. Grossman, Data mining for scientific and engineering applications. Massive computing ; 2. 2001, Dordrecht ; Boston, Mass.: Kluwer Academic edited by Vipin Kumar, Chandrika Kamath and Robert L. Grossman. main themes: Data mining.

117. Lin, T.Y. and N. Cercone, Rough sets and data mining : analysis for imprecise data. 1997, Boston, Mass: Kluwer Academic. 436 p. T.Y. Lin, N. Cercone [editors].

118. Lin, T.Y., Y. Yao, and L.A. Zadeh, Data mining, rough sets, and granular computing. Studies in fuzziness and soft computing ; v. 95. 2002, Heidelberg ; New York: Physica-Verlag. ix, 536 p. Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh, editors.

124. Loton, T., Web content mining with Java : techniques for exploiting the World Wide Web. 2002, West Sussex, England: John Wiley & Sons. xviii, 305 p. Tony Loton.

125. Lu, H., H. Motoda, and H. Liu, KDD, techniques and applications : proceedings of the First Pacific-Asia Conference on Knowledge Discovery and Data Mining, 23-24 Feb. 97. 1997, Singapore ; River Edge, NJ: World Scientific. xvi, 357 p. Pacific-Asia Conference on Knowledge Discovery and Data Mining (1st : 1997 : Singapore)

128. Marakas, G.M., Decision support systems in the twenty-first century. 1999, Upper Saddle River, N.J.: Prentice Hall. xxi, 506 p. George M. Marakas.

129. Marakas, G.M., Modern data warehousing, mining, and visualization : core concepts. 2002, Upper Saddle River, NJ: Prentice Hall. xiv, 274 p. George M. Marakas.

130. Marakas, G.M., Decision support systems in the 21st century. 2nd ed. 2003, Upper Saddle River, NJ: Prentice Hall. xxiii, 611 p. George M. Marakas.

136. Miller, H.J. and J. Han, Geographic data mining and knowledge discovery. Research monographs in geographic information systems. 2001, London ; New York: Taylor & Francis. xvi, 372 p., [8] p. of plates edited by Harvey J. Miller and Jiawei Han.

141. Nykamp, M., The customer differential : the complete guide to implementing customer relationship management. 2001, New York: AMACOM. x, 212 p. Melinda Nykamp.

149. Provost, F., R. Srikant, and Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining., KDD-2001 : proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 26-29, 2001, San Francisco, CA. 2001, New York, NY: Association for Computing Machinery. xv, 483 p. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (7th : 2001 : San Francisco, Calif.)

154. Rajola, F. and Arthur Andersen & Co., L'organizzazione dei sistemi di business intelligence nel settore finanziario : il datawarehouse e il data mining. Azienda moderna ; 404. 2000, Milano, Italy: FrancoAngeli. 267 p. Federico Rajola (a cura di) ; [in collaborazione con] Arthur Andersen ... [et al.].

155. Ramakrishnan, R., S. Stolfo, and Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining., KDD-2000 : proceedings, August 20-23, 2000, Boston, Massachusetts, USA. 2000, New York, NY, USA: Association for Computing Machinery. xv, 537 p. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (6th : 2000 : Boston, MA.)

159. Rosenfeld, A., D.S. Doermann, and D. DeMenthon, Video mining. The Kluwer international series in video computing. 2003, Boston: Kluwer Academic. viii, 340 p. DIMACS Workshop on Video Mining (2002 : Rutgers University)

160. Rud, O., Data mining cookbook : modeling data for marketing, risk and customer relationship management. 2000, New York ; Chichester: Wiley. 416 p. Olivia Rud. main themes: Data mining.

163. SAS Institute, Getting started with SAS Text Miner software Release 8.2. 2002, Cary, NC: SAS Institute, Inc. 46 p. SAS Text Miner software Release 8.2

164. SAS Institute., Getting started with Enterprise Miner software. 1998, Cary, NC: SAS Inctitute Inc. vi, 95 p. ill. ; 28 cm. main themes: Business Data processing.

165. SAS Institute., Getting started with Enterprise Miner software : version 3.0. 1999, Cary, NC: SAS Inctitute Inc. iv, 94 p. ill. ; 28 cm. main themes: Business Data processing.

166. SAS Institute., Data mining using Enterprise Miner software : a case study approach. 1st ed. 2000, Cary, NC: SAS Institute. iv, 105 p. ill. ; 28 cm. main themes: Business Data processing Case studies.

168. SAS Institute., Getting started with Enterprise Miner software : version 4.0. 2000, Cary, NC: SAS Institute. iv, 125 p. ill. ; 28 cm. main themes: Business Data processing.

170. Seidman, C., Data mining with Microsoft SQL server 2000 : technical reference. 2001, Redmond, Wash.: Microsoft Press. xiv, 367 p. Claude Seidman.

171. Sčauberlich, F., KDD und Data Mining als Hilfsmittel zur Entscheidungsunterstčutzung. Entscheidungsunterstčutzung fčur čokonomische Probleme, Bd. 18. 2000, Frankfurt am Main ; New York: P. Lang. xix, 235 p. Frank Sčauberlich.

173. Simoudis, E., J. Han, and U.M. Fayyad, KDD-96 : proceedings. 1996, Menlo Park, Calif.: AAAI Press. xiv, 391 p. International Conference on Knowledge Discovery & Data Mining (2st : 1996 : Portland, Or.)

175. Society for Industrial and Applied Mathematics., Proceedings of the Second SIAM International Conference on Data Mining. 2002, Philadelphia: Society for Industrial and Applied Mathematics. xi, 599 p. SIAM International Conference on Data Mining (2nd : 2002 : Arlington, Va.)

176. Soukup, T. and I. Davidson, Visual data mining : techniques and tools for data visualization and mining. 2002, New York: Wiley Publ. xxxi, 382 p. Tom Soukup, Ian Davidson.

177. SPSS Inc., Data mining with confidence. 1999, Chicago, IL: SPSS. xiii, 215 p. SPSS.

178. Starck, J.L. and F. Murtagh, Astronomical data analysis : 2-3 August 2001, San Diego, USA. 2001, Bellingham, Wash.: SPIE. ix, 316 p. Jean-Luc Starck, Fionn D. Murtagh, chairs/editors ; sponsored ... by SPIE--the International Society for Optical Engineering.

179. Starck, J.L. and F. Murtagh, Astronomical data analysis II : 27-28 August 2002, Waikoloa, Hawaii, USA. 2002, Bellingham, Wash.: SPIE. ix, 464 p. Jean-Luc Starck, Fionn D. Murtagh, chairs/editors ; sponsored and published by SPIE--the International Society for Optical Engineering ; cooperating organizations, International Commission for Optics ... [et al.].

180. Statistical Office of the European Communities., Proceedings of the Conference on Knowledge Extraction and Symbolic Data Analysis : KESDA '98, Luxembourg, 27 to 28 April 1998. 1999 ed. Theme 9--Research and development. Studies and research. 1999, Luxembourg: Office for Official Publications of the European Communities. 315 p. Conference on Knowledge Extraction and Symbolic Data Analysis (1998 : Luxembourg)

186. Tay, F.E.H., L. Shen, and L. Cao, Ordinary shares, exotic methods : financial forecasting using data mining techniques. 2003, River Edge, N.J.: World Scientific ;. ix, 186 p. Francis Eng-Hock Tay, Lixiang Shen, Lijuan Cao.

191. Torra, V., Information fusion in data mining. Studies in fuzziness and soft computing ; v. 123. 2003, Berlin New York: Springer. ix, 233 p. editor, V. Torra.

192. United States. Congress. House. Committee on Government Reform. Subcommittee on Technology Information Policy Intergovernmental Relations and the Census., Data mining : current applications and future possibilities : hearing before the Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census of the Committee on Government Reform, House of Representatives, One Hundred Eighth Congress, first session, March 25, 2003. 2003, Washington: U.S. G.P.O. : For sale by the Supt. of Docs., U.S. G.P.O. iii, 100 p. ill. ; 24 cm.

196. Wang, J., Data mining : opportunities and challenges. 2003, Hershey, PA: Idea Group Pub. xiii, 468 p. John Wang.

198. Weiss, S.M. and N. Indurkhya, Predictive data mining : a practical guide. 1998, San Francisco: Morgan Kaufmann Publishers. xii, 228 p. Sholom M. Weiss, Nitin Indurkhya.

202. Witten, I.H. and E. Frank, Data mining : practical machine learning tools and techniques with Java implementations. 1999, San Francisco, Calif.: Morgan Kaufmann. xxv, 371 p. Ian H. Witten, Eibe Frank.

203. Wittmann, T., Data Mining : Entwicklung und Einsatz robuster Verfahren fčur betriebswirtschaftliche Anwendungen. Informationsmanagement und strategische Unternehmensfčuhrung, Bd. 2. 2000, Frankfurt am Main ; New York: P. Lang. 221 p. Thomas Wittmann ... [et al.].

204. Wittmann, T., Wissensentdeckung in Datenbanken mit adaptiven Regelsystemen : Entwicklung eines Data Mining Methodenbaukastens auf Basis von Neuro-Fuzzy Systemen. Informationsmanagement und strategische Unternehmensfčuhrung, Bd. 1. 2000, Frankfurt am Main ; New York: P. Lang. 504 p. Thomas Wittmann.

207. Wu, W., H. Xiong, and S. Shekhar, Clustering and information retrieval. Network theory and applications ; v. 11. 2004, Boston: Kluwer Academic Publishers [edited by] Weili Wu, Hui Xiong, and Shashi Shekhar. main themes: Data mining.

208. Ye, N., The handbook of data mining. Human factors and ergonomics. 2003, Mahwah, N.J.: Lawrence Erlbaum Associates, Publishers. xxx, 689 p. edited by Nong Ye.

211. Zagorsky, J.L., Business information : finding and using data in the digital age. The McGraw-Hill/Irwin series Operations and decision sciences. 2003, Boston: McGraw-Hill/Irwin. xi, 276 p. Jay L. Zagorsky.

213. Zanasi, A., Data mining III. 2002, Southampton ; Boston: WIT Press. 1011 p. International Conference on Data Mining (3rd : 2002 : Bologna, Italy)

215. Zhong, N. and L. Zhou, Methodologies for knowledge discovery and data mining: Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings. 1999, Berlin ; New York: Springer. xv, 533 p. Pacific-Asia Conference on Knowledge Discovery and Data Mining (3rd : 1999 : Beijing, China)

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