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Лучшие результаты

  1. Nisarg Shah. Data Mining Concept Animation Library. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.

Дополнительные результаты

  1. Orlan Lee. Waiving Our Rights: The Personal Data Collection Complex and Its Threat to Privacy and Civil Liberties. – М.: , 2012. – 306 с.
  2. W. Gaul, Otto Opitz, Martin Schader, Robert R. Sokal, Wolfgang Gaul. Data Analysis: Scientific Modeling and Practical Application (Studies in Classification, Data Analysis, and Knowledge Organization). – М.: , 0. – 0 с.
  3. Barbara J. Bashein, M. Lynne Markus. Data Warehouses: More Than Just Mining. – М.: , 0. – 0 с.
  4. Boris Kovalerchuk, Evgenii Vityaev. Data Mining in Finance: Advances in Relational and Hybrid Methods (Kluwer International Series in Engineering and Computer Science, 547). – М.: , 0. – 0 с.
  5. Claudia Imhoff, Lisa Loftis, Jonathan G. Geiger. Building the Customer-Centric Enterprise: Data Warehousing Techniques for Supporting Customer Relationship Management. – М.: , 0. – 0 с.
  6. Stephan Kudyba, Richard Hoptroff. Data Mining and Business Intelligence: A Guide to Productivity. – М.: , 0. – 0 с.
  7. John Wang. Data Mining: Opportunities and Challenges. – М.: , 0. – 0 с.
  8. Parag Pendharkar. Managing Data Mining Technologies in Organizations: Techniques and Applications. – М.: , 0. – 0 с.
  9. George Fernandez. Data Mining Using SAS Applications. – М.: , 0. – 0 с.
  10. Jagdish N. Sheth, Abdolreza Eshghi, Balaji C. Krishnan. Internet Marketing. – М.: , 0. – 0 с.
  11. Ron Kohavi, Foster Provost. Applications of Data Mining to Electronic Commerce. – М.: , 2001. – 156 с.
  12. Olivia Parr Rud. Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management. – М.: , 0. – 0 с.
  13. Intelligent Agents for Data Mining and Information Retrieval. – М.: , 2004. – 0 с.
  14. Francis E. H. Tay. Ordinary Shares. Exotic Methods: Financial Forecasting Using Data Mining Techniques. – М.: , 2003. – 0 с.
  15. Advances in Data Analysis: Proceedings of the 30th Annual Conference of the Gesellschaft fA?r Klassifikation e.V., Freie UniversitA¤t Berlin, March 8-10, ... Data Analysis, and Kno. – М.: , 2007. – 687 с.
  16. Joseph F. Hair, Bill Black, Barry Babin, Rolph E. Anderson, Ronald L. Tatham. Multivariate Data Analysis (6th Edition). – М.: , 2005. – 928 с.
  17. Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems). – М.: , 2008. – 514 с.
  18. Data Mining Applications for Empowering Knowledge Societies. – М.: , 2008. – 356 с.
  19. Data Warehousing and Knowledge Discovery: 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 434 с.
  20. Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, July ... (Lecture Notes in Computer Science). – М.: , 2008. – 428 с.
  21. Yukio Ohsawa, Katsutoshi Yada. Data Mining for Design and Marketing (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). – М.: , 2009. – 344 с.
  22. Longbing Cao, Philip S. Yu, Chengqi Zhang, Yanchang Zhao. Domain Driven Data Mining. – М.: , 2010. – 237 с.
  23. PERAL TOKTAS-PALUT. PREDICTING BANK FAILURES: A DATA MINING APPROACH. – М.: , 2010. – 252 с.
  24. Joao Gama. Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). – М.: , 2010. – 255 с.
  25. Data Mining in Public and Private Sectors: Organizational and Government Applications. – М.: , 2010. – 389 с.
  26. Susan Chiu. Data Mining and Market Intelligence for Optimal Marketing Returns. – М.: , 2010. – 296 с.
  27. Jesus Mena. Data Mining Your Website. – М.: , 2010. – 384 с.
  28. Gunther Wyszecki, W. S. Stiles. Color Science: Concepts and Methods, Quantitative Data and Formulae. – М.: Wiley-Interscience, 2000. – 968 с.
  29. Panos M. Pardalos and Pierre Hansen. Data Mining and Mathematical Programming (Crm Proceedings & Lecture Notes). – М.: , 2008. – 234 с.
  30. Gordon S. Linoff. Data Analysis Using SQL and Excel®. – М.: , 2007. – 744 с.
  31. Tony Loton. Web Content Mining With Java. – М.: , 2002. – 328 с.
  32. Gordon S. Linoff. Mining the Web. – М.: , 2002. – 368 с.
  33. Tom Soukup, Ian Davidson. Visual Data Mining: Techniques and Tools for Data Visualization and Mining. – М.: Wiley Publishing, Inc, 2002. – 416 с.
  34. Konstantinos Tsiptsis. Data Mining Techniques in CRM. – М.: , 2010. – 372 с.
  35. Ю.Ю. Петрунин. Информационные технологии анализа данных. Data Analysis. – М.: КДУ, 2010. – 292 с.
  36. Robert Nisbet. Handbook of Statistical Analysis and Data Mining Applications. – М.: , 2010. – 864 с.
  37. Mamdouh Refaat. Data Preparation for Data Mining Using SAS. – М.: , 2010. – 424 с.
  38. Colleen McCue. Data Mining and Predictive Analysis. – М.: , 2010. – 368 с.
  39. Earl Cox. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration. – М.: , 2010. – 540 с.
  40. Jesus Mena. Investigative Data Mining for Security and Criminal Detection. – М.: , 2010. – 272 с.
  41. Dorian Pyle. Business Modeling and Data Mining. – М.: , 2010. – 650 с.
  42. Sholom M. Weiss. Predictive Data Mining. – М.: , 2010. – 228 с.
  43. Soumen Chakrabarti. Data Mining: Know It All. – М.: , 2010. – 480 с.
  44. Dorian Pyle. Data Preparation for Data Mining. – М.: , 2010. – 560 с.
  45. Claude Seidman. Data Mining with Microsoft SQL Server 2000 Technical Reference. – М.: , 2001. – 384 с.
  46. Paolo Giudici. Applied Data Mining for Business and Industry. – М.: , 2009. – 258 с.
  47. Zdravko Markov. Data Mining the Web. – М.: , 2007. – 218 с.
  48. Olivia Parr Rud. Data Mining Cookbook. – М.: , 2001. – 0 с.
  49. Christopher Westphal. Data Mining Solutions. – М.: , 1998. – 640 с.
  50. Michael J. Berry. Data Mining Techniques. – М.: , 1997. – 464 с.
  51. Charles J. Wertz. The Data Dictionary Concepts and Uses. – М.: , 1993. – 390 с.
  52. Gordon S. Linoff. Data Mining Techniques. – М.: , 2011. – 888 с.
  53. David Hand. Principles of Data Mining. – М.: , 2001. – 578 с.
  54. ARICK. Arick: Data Communications: Concepts & Sol. – М.: , 1993. – 0 с.
  55. Hillol Kargupta. Data Mining – Next Generation Challenges and Future Directions (OISC). – М.: , 2004. – 528 с.
  56. Michael J. Berry. Data Mining Techniques with Mastering Data Mining Set. – М.: , 2003. – 976 с.
  57. Introduction To Business Data Mining. – М.: , 2006. – 0 с.
  58. Barry De Ville. Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management. – М.: , . –  с.
  59. Mark F. Hornick, Erik Marcade, Sunil Venkayala. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation. – М.: Morgan Kaufmann, 2006. – 544 с.
  60. Ian H. Witten, Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). – М.: , 2005. – 560 с.
  61. И.А. Чубукова. Data Mining. – М.: Интернет-университет информационных технологий, Бином. Лаборатория знаний, 2008. – 384 с.
  62. Владимир Рафалович. Data Mining, или Интеллектуальный анализ данных для занятых. Практический курс. – М.: SmartBook, 2014. – 96 с.
  63. Bharat Tidke and Rupa Mehta. A Novel Approach For High Dimensional Data Clustering. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  64. Hitesh Chhinkaniwala and Sanjay Garg. Privacy Preserving Data Mining - Issues & Techniques. – М.: Scholars Press, 2014. – 120 с.
  65. Ram Kumar Singh and Amit Asthana. Data Mining and Data Warehousing. – М.: LAP Lambert Academic Publishing, 2012. – 404 с.
  66. Neha Aggarwal and Kirti Aggarwal. An Improved K-means Clustering Algorithm For Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  67. Kris Villez,Peter A. Vanrolleghem and Christian Rosen. Data-driven analysis of sequencing batch reactors. – М.: LAP Lambert Academic Publishing, 2010. – 368 с.
  68. Eman El Amir. Web Services Approach for GeoSpatial Data Mining. – М.: LAP Lambert Academic Publishing, 2015. – 96 с.
  69. Farzin Salmasi,Mohammad Taghi Sattari and Mahesh Pal. Modelling energy dissipation over gabion-stepped weir by data mining. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  70. Amit Ganatra. Information Fusion(Ensemble System)in Data Warehousing and Data Mining. – М.: LAP Lambert Academic Publishing, 2013. – 200 с.
  71. Vibha Lakshmikantha,Venugopal K. R. and P. Deepa Shenoy. Data Mining for Multimedia Databases. – М.: LAP Lambert Academic Publishing, 2012. – 172 с.
  72. Sant Sharan Mishra. Computing Application of Classifiers for Marketing Data Mine. – М.: LAP Lambert Academic Publishing, 2011. – 80 с.
  73. Роман Зайцев. Методы Data Mining для анализа моделей сложных систем. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  74. Omead Hussain. Predicting Breast Cancer Survivability Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  75. Suvarna Pawar. Use of classification algorithm under data mining for managing asthma. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  76. Vimalkumar Bhupatbhai Vaghela,Kalpesh H. Vandra and Nilesh K. Modi. Ensemble Classifier in Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 160 с.
  77. Bikash Sarkar. Hybrib Classification Model: A Data Mining Approach. – М.: Scholars' Press, 2014. – 248 с.
  78. Abhijit Raorane and Raja Kulkarni. Consumer Behavior Analysis using Data Mining Technique. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  79. Kirk Ogaard. Mining Aircraft Telemetry Data with Evolutionary Algorithms. – М.: Scholars' Press, 2013. – 152 с.
  80. Ahmad Alhomaid and Mohammad Alhamami. Data Mining for Core Banking Systems. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  81. Arben Hajra. Quality Assurance Web Based Application, Including Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 176 с.
  82. Nidhi Arora and Hitesh Singh. Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.
  83. Shampa Bhattacharyya and Amit Bhattacharyya. Privacy Preserving Data Mining. – М.: LAP Lambert Academic Publishing, 2015. – 100 с.
  84. Mrutyunjaya Panda and Manas Ranjan Patra. A Data Mining Approach to Network Intrusion Detection. – М.: LAP Lambert Academic Publishing, 2015. – 216 с.
  85. Gaurav Mishra and Gulshan Ahuja. Classification of data mining techniques in intrusion detection. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  86. Arik Friedman,Ran Wolff and Assaf Schuster. Embedding Privacy in Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 148 с.
  87. Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  88. Divya Jain. Data Mining Approach for Healthcare Management of NCD`S. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  89. Vibhav Prakash Singh. Data Mining Approach for Classifying Gene Expression Data of Cancer. – М.: LAP Lambert Academic Publishing, 2013. – 80 с.
  90. Nisarg Shah. Data Mining Concept Animation Library. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  91. Dr.R Mallika. LINEAR DATA MINING MODEL WITH VERY FEW MINIMUM GENE FEATURES. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  92. Bharat Gupta. Data Mining-Approaches to Mine Frequent Patterns. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  93. Dalvinder Singh Dhaliwal. Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 164 с.
  94. Lokesh Kumar Sharma. Descriptive Modelling and Pattern Discovery in Spatial Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  95. Vivek Gangwar. Data Mining Of Biological Data And Pattern Matching. – М.: LAP Lambert Academic Publishing, 2012. – 68 с.
  96. Tarek Hamrouni. Data Mining Techniques For Concisely Representing Patterns Sets. – М.: LAP Lambert Academic Publishing, 2011. – 236 с.
  97. Shruti Mishra,Debahuti Mishra and Sandeep Kumar Satapathy. Frequent Pattern Discovery from Gene Expression Data. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  98. Teklu Urgessa and Sebsibe Hialemariam. Application of Data Mining Techniques on Antiretroviral Treatment Data. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  99. Shelly Gupta. Performance Analysis of Data Mining Classification Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  100. Amanpreet Chauhan. Survey on data mining techniques in intrusion detection. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  101. Mostafa A. Salama. Data Mining of medical informatics. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  102. Anoop Shrivastava,Ruchi Garg and Shruti Garg. Rough Set Theory Over Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  103. A.N.M. Bazlur Rashid. Spatio-Temporal Data Mining: Concepts and Challenges. – М.: LAP Lambert Academic Publishing, 2012. – 144 с.
  104. Mulugeta Asres. Application of Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  105. Hrishav Bakul Barua and Dhiraj Kumar Das. Clustering Concepts and Techniques. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  106. Kapil Wankhade and Snehlata Dongre. Data Streams Mining. – М.: LAP Lambert Academic Publishing, 2010. – 72 с.
  107. Khurram Shehzad. Multithreaded Fuzzy Logic based Web Services Mining Framework. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  108. Ramya C. and Shreedhara K. S. Data Mining: Prerequisites of Web Usage Mining. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  109. Subramanian Appavu alias Balamurugan. Feature Selection for Knowledge Discovery and Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  110. Viktor Nekvapil. Data Mining in Customer Relationship Management. – М.: LAP Lambert Academic Publishing, 2013. – 108 с.
  111. Faisal Bin Al Abid. Development Of An Efficient Grid Based Partitioning -Around -Medoids. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  112. Muzammil Khan. Interactive Data Mining Results Visualization on Mobile Devices. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  113. Pradeep Kumar. Designing of some Data Mining Tools for BI in Indian Insurance Sector. – М.: LAP Lambert Academic Publishing, 2014. – 236 с.
  114. Ashish Seth and Kirti Seth. Data Mining in Decision Making (A Multi Rule Algorithm). – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  115. Ramyachitra Duraisamy and Manikandan Pandurangan. Data Mining Techniques for Protein Sequence Analysis. – М.: LAP Lambert Academic Publishing, 2014. – 88 с.
  116. Sridhar Mandapati. Privacy Preserving Data Mining using Optimization Methods. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  117. NASER EL-BATHY and Ghassan Azar. Intelligent Information Retrieval and Web Mining. – М.: LAP Lambert Academic Publishing, 2010. – 220 с.
  118. vudasreenivasa rao. DISTRIBUTED DATA MINING AND MINING MULTI-AGENT DATA. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.
  119. Muhammad Anwar-ul-Haq. Aerial Threat Perception Using Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  120. Subramanian Appavu alias Balamurugan and P.K.A. Chitra Lakshmanan. A Road map on data mining for medical informatics. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  121. Ammisetty Veeraswamy. Introduction to Data Mining & Data Warehousing. – М.: LAP Lambert Academic Publishing, 2014. – 192 с.
  122. Junming Shao. Synchronization on Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 324 с.
  123. Elias Lemuye. HIV Status Predictive Modeling Using Data Mining Technology. – М.: LAP Lambert Academic Publishing, 2012. – 184 с.
  124. Gidey Hailu Tesfay,Girma Tadesse and Semaw Ferede. Predictive Modeling for HIV Testing Using Data Mining techniques. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  125. Hanumanthappa M. Data Mining Applications. – М.: LAP Lambert Academic Publishing, 2013. – 192 с.
  126. Muhammad Naveed Anwar. Data Mining of Audiology Data. – М.: LAP Lambert Academic Publishing, 2014. – 244 с.
  127. Viktor Nekvapil. Data Mining in the Medical Domain. – М.: LAP Lambert Academic Publishing, 2010. – 72 с.
  128. Jue Wang. DATA MINING METHODOLOGY DEVELOPMENT. – М.: LAP Lambert Academic Publishing, 2010. – 104 с.
  129. Roy de Groot. Data Mining for Tweet Sentiment Classification. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  130. Kinfe Wubetu. Application of Data Mining to Identify Patterns in VCT Dataset. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  131. Zenebe Markos. Predicting Nutritional Status of Under 5 Children Using Data Mining. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  132. Pankaj Bhambri. Data Mining Model for Protein Sequence Alignment. – М.: LAP Lambert Academic Publishing, 2011. – 92 с.
  133. Suresh Veluru and Viswanath Pulabaigari. Scalable Non-Parametric Pattern Recognition Techniques for Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  134. Valerio Veglio. Forecasting Marketing Performance via Web Data Mining. – М.: LAP Lambert Academic Publishing, 2013. – 124 с.
  135. Neville C. Pradeep. Data Mining in Management and Practice. – М.: LAP Lambert Academic Publishing, 2012. – 412 с.
  136. Pankaj Khare. Data Mining and its Applications in Distance Education. – М.: LAP Lambert Academic Publishing, 2012. – 136 с.
  137. Sagarkumar Badhiye,Prashant Chatur and Bhushan Wakode. Temperature & Humidity Prediction Using Data Mining. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  138. Kanwal Garg. Data Mining in Life Insurance Sector of India: A Model Based Approach. – М.: LAP Lambert Academic Publishing, 2012. – 232 с.
  139. Meta S. Brown. Data Mining For Dummies. – М.: , 2014. –  с.
  140. Walter W. Piegorsch. Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual. – М.: , 2015. –  с.

Лучшие результаты

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Дополнительные результаты

  1. Применение интеллектуального анализа данных. data mining в управлении страховой компанией. Ю.В. Грызенкова, З.Ф. Шарифьянова, "Управление в страховой компании", № 4, октябрь-декабрь 2007.

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Александр
Большое спасибо. Был приятно поражен Вашей оперативностью и профессиональным подходом к делу. Сейчас смотрю "работки" :) и в очередной раз сожалею, что не могу учиться полноценно, приходится идти на всякие ухищрения. Хотя, даже если я просто успею прочитать Ваши материалы, мне кажется, я уже многое вынесу из процесса обучения по специальности юриспруденция :) Еще раз спасибо.