italiano | español



Data Mining and Statistics
Data Warehouse
Text Mining


Andersen H., Andreasen M., Jacobsen Ø., The CRM Handbook. From Group to Multiindividual, PricewaterhouseCoopers, 1999.

Brown S.A., The Customer Relationship Management: Linking People, Process and Technology, Wiley & Sons, 1999.

Gordon I., Relationship Marketing, new strategies, techniques and technologies to win the customer you want and keep them forever, J. Wiley & Sons, 1998.

Kimball P. Marshall, Marketing Information Systems: Creating Competitive Advantage in the Information Age, Boyd & Fraser Publishing Company, 1996.

Rud O.C., Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management, Wiley & Sons, 2000.

Thuraisingam B., Web Data Management and Electronic Commerce, CRC Press, 2000.

Tiwana A., Essential Guide to Knowledge Management, The: E-Business and CRM Applications, Prentice Hall, 2000.

Todman C., Designing a Data Warehouse: Supporting Customer Relationship Management, Prentice Hall, 2001.

Wayland R.E., Cole P .M., Customer Connections, new strategies for growth, HBS Press, 1997.

Data Mining and Statistics

Agresti A., Categorical Data Analysis, John Wiley & Sons, New York, 1990.

Berry M., Linoff G., Data Mining Techniques for Marketing, Sales and Customer Support, John Wiley & Sons, 1997.

Berry M., Linoff G., Mastering Data Mining, John Wiley & Sons, 2000.

Bigus J.P., Data Mining with Neural Networks, McGraw-Hill, 1996.

Capena P. et al, Discovering Data Mining: From Concept to Implementation. Prentice Hall, Englewood Cliffs, New York, 1997.

Cuzzocrea G. e Saccardi A., Metodi per il supporto alle decisioni di Marketing, Note del corso SAS, 1998.

De Luca A., Le Applicazioni dei Metodi Statistici alle Analisi di Mercato, Franco Angeli, 3°edizione, 1995

Fabbris L., Analisi Esplorativa dei dati Multidimensionali, Cleup Editore, 4°edizione,1994.

Fabbris L., Statistica multivariata : analisi esplorativa dei dati, McGraw-Hill, Milano, 1997.

Hair J.F. et al., Multivariate Data Analysis, Prentice Hall International Editions, 1998.

Hair J.F., Anderson R.E., Tatham R.L., Black W.C., Multivariate Data Analysis, Prentice Hall, 1998.

Han J., Kamber M., Data mining: concepts and techniques, Morgan Kaufmann, San Francisco, 2001.

Heckerman D., Bayesian Networks for Data Mining, Data Mining and Knowledge Discovery 1, 79-119, Kluver Academic Publisher, Netherlands, 1997.

Jobson J. D., Applied Multivariate Data Analysis, volume 1: Regression and Experimental Design, Springer Verlag, New York, 1991.

Jobson J. D., Applied Multivariate Data Analysis, volume 2: Categorical and Multivariate Methods, Springer Verlag, New York, 1992.

Mardia K.V. et al., Multivariate Analysis, Academic Press, London, 1979.

Mena J., Data Mining Your Website, Digital Press, Boston, 1999.

Overall J.E. e Klett C.I., Applied Multivariate Analysis, McGraw- Hill, New York, 1972.

Richeldi, M., P. Lanzi, Performing effective feature selection by investigating the deep structure of the data, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp.379-383.AAAI Press, 1996.

Westphal C., Blaxton T., Data Mining Solutions, Methods and Tools for Solving Real-World Problems, J. Wiley & Sons, 1998.

Witten I.H., Frank E., Data Mining, Morgan Kaufmann Publishers, 2001.


Data Warehouse

Adamson C., Venerable M., Data Warehouse Design Solutions, John Wiley & Sons, New York, 1998.

Hackathorn R.D., Web Farming for the Data Warehouse, Morgan Kaufmann Publishers, San Francisco, 1999.

Immon W.H., Building the Data Warehouse, John Wiley & Sons, New York, 1996.

Immon W.H., Rudin K., Buss C.K., Sousa R., Data Warehouse Performance, John Wiley & Sons, New York, 1999.

Immon W.H., Using the Data Warehouse, John Wiley & Sons, New York, 1994.

Immon W.H., Welch J.D., Glassey K.L., Managing the Data Warehouse, John Wiley & Sons, New York, 1997.

Kimball R., Merz R., The Data Webhouse Toolkit: Building the Web-Enabled Data Warehouse, John Wiley & Sons, New York, 2000.

Kimball R., The Data Warehouse Toolkit, McGraw-Hill, 1996.

La Noce F., D'Ercole L., Data Warehousing -Dal dato alI 'informazione, Franco Angeli, 1998.

Mattison R., Data Warehousing, McGraw-Hill, 1996.

Mattison R., Data Warehousing, Strategies Technologies and Techniques, McGraw-Hill, 1996.

Rajola F., L'organizzazione dei sistemi di business intelligence nel settore finanziario -Il Data warehouse ed il Data Mining, Franco Angeli, Milano, 2000.

Simon A., 90 Days to the Data Mart, John Wiley & Sons, New York, 1998.

Singh H., Interactive Data Warehousing, Prentice Hall PTR, Upper Saddle River NJ, 1999.


Text Mining

AGGARWAL C. C. e YU P. S., “On Text Mining Techniques for Personalization”, in LNAI, 1711, 1999, pp. 12-18.

AHONEN H., HEINONEN O., MIKA KLEMETTINEN M. e VERKAMO A. I., “Finding Cooccurring Text Phrases by Combining Sequence and Frequent Set Discovery”, in IJCAI’99 Workshop on Text Mining, Stockholm, Sweden, August 1999.

BAEZA-YATES R. e RIBEIRO-NETO B., Modern Information Retrieval, ACM Press-Addison Wesley, 1999.

CHEN F. Z. e WANG X. Z., “Computer-Aided Causal Knowledge Discovery from Text Documents of Process and Equipment Malfunctions”, in Trans IchemE, vol. 78, part B, January 2000, pp. 60-67.

COWIE J. e LEHNERT W., “Information Extraction”, in Communications of the ACM, 39(1), 1996, pp. 80-91.

DAGAN I., FELDMAN R. e HIRSH H., “Keyword-Based Browsing and Analysis of Large Document Sets”, in Proceedings of the 5th Annual Symposium on Document Analysis and Information Retrieval (SDAIR’96), Las Vegas, Nevada, USA, April 1996.

FELDMAN R., “Practical Text Mining”, in IJCAI’99 Tutorial E2 on Knowledge Extraction and Discovery, Stockholm, Sweden, August 1999.

FELDMAN R. e HIRSH H., “Mining Associations in Text in the Presence of Background Knowledge”, in Proceedings of the 2nd International Conference on Knowledge Discovery in Databases and Data Mining (KDD’96), Portland, Oregon, USA, August 1996, pp. 343-346.

GHANI R., JONES R., MLADENIC D., NIGAM K. e SLATTERY S., “Data Mining on Symbolic Knowledge Extracted from the Web”, in KDD2000 Workshop on Text Mining, Boston, Massachusetts, USA, August 2000, pp. 29-36.

LAVRENKO V., SCHMILL M., LAWRIE D., OGILVIE P., JENSEN D. e ALLAN J., “Mining of Concurrent Text and Time Series”, in KDD2000 Workshop on Text Mining, Boston, Massachusetts, USA, August 2000, pp. 37-44.

LENT B., AGRAWAL R. e SRIKANT R., “Discovering Trends in Text Databases”, in Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD’97), Newport Beach, California, USA, August 1997, pp. 227-230.

RAJMAN M. e BESANÇON R., “Text Mining: Natural Language Techniques and Text Mining Applications”, in SPACCAPIETRA S. e MARYANSKI F. (Eds.), Data Mining and Reverse Engineering, Chapman & Hall, 1998, pp. 50-64.

SULLIVAN D., Document Warehousing and Text Mining. Techniques for Improving Business Operations, marketing, and Sales, Wiley, 2001.

SWAN R. e JENSEN D., “TimeMines: Constructing Timelines with Statistical Models of Word Usage”, in KDD2000 Workshop on Text Mining, Boston, Massachusetts, USA, August 2000, pp. 73-80.

SWANSON D. R., “Complementary Structures in Disjoint Science Literatures”, in Proceedings of the 14th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Chicago, Illinois, USA, 1991, pp. 280-289.

SWANSON D. R. e SMALHEISER N. R., “An Interactive System for Finding Complementary Literatures: a Stimulus to Scientific Discovery”, in Artificial Intelligence, 91, 1997, pp. 183-203.

VEL O. (DE), “Mining Email Authorship”, in KDD2000 Workshop on Text Mining, Boston, Massachusetts, USA, August 2000, pp. 21-27.

YANG Y., “An Evaluation of Statistical Approaches to Text categorization”, in INRT Journal, 1998, pp. 1-28.