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Лучшие результаты

  1. Michael Otey. Microsoft SQL Server 2008 High Availability with Clustering & Database Mirroring. – М.: McGraw-Hill Osborne Media, 2011. – 304 с.
  2. Md. Bahadur Badsha. Robust Clustering for Gene Expression Data Study in Bioinformatics. – М.: LAP Lambert Academic Publishing, 2014. – 148 с.
  3. Uma Maheshwari and Santhosh Rebello. Soft Computing Methodologies for Cluster Analysis and Gene Prediction. – М.: LAP Lambert Academic Publishing, 2011. – 56 с.
  4. Jan Stochl. Effects of Ignoring Clustered Data Structures in Factor Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  5. Prabhjot Kaur,Shashank Sharma and Megha Goel. Robust Data Clustering. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  6. Chandan Srivastava. Clustering and Neural Network Approaches for General NN-Simulator. – М.: LAP Lambert Academic Publishing, 2011. – 68 с.
  7. Vladimir Shestak. ROBUST RESOURCE ALLOCATION FOR PARALLEL DISTRIBUTED COMPUTING SYSTEMS. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.

Дополнительные результаты

  1. Knut Westeren. Foundations of the Knowledge Economy: Innovation, Learning and Clusters. – М.: , 2012. – 296 с.
  2. A. C. Atkinson, Marco Riani, Anthony Atkinson. Robust Diagnostic Regression Analysis. – М.: , 0. – 0 с.
  3. Amos Golan, George Judge & Douglas Miller. Maximum Entropy Econometrics: Robust Estimation with Limited Data. – М.: John Wiley and Sons, Ltd, 1997. – 324 с.
  4. Conway Data. Arab Investment in the United States. – М.: , 0. – 0 с.
  5. Conway Data. Leaders in Development. – М.: , 0. – 0 с.
  6. Frederick Jelinek. Statistical Methods for Speech Recognition (Language, Speech, and Communication). – М.: The MIT Press, 1998. – 300 с.
  7. Advances in Multivariate Data Analysis. – М.: , 2004. – 0 с.
  8. 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.
  9. From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft fA?r Klassifikation e.V., University ... Data Analysis. – М.: , 2006. – 761 с.
  10. AHA Health Data Management Group. Estimated Useful Lives of Depreciable Hospital Assets Revised 2008 Edition (Estimated Useful Lives of Depreciable Hospital Assets). – М.: , 2008. – 76 с.
  11. Data Mining Applications for Empowering Knowledge Societies. – М.: , 2008. – 356 с.
  12. 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.
  13. 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.
  14. Brian Larson. Delivering Business Intelligence with Microsoft SQL Server 2008. – М.: McGraw-Hill Osborne Media, 2008. – 792 с.
  15. John Hallward. Gimme! The Human Nature of Successful Marketing. – М.: , 2007. – 240 с.
  16. Panos M. Pardalos and Pierre Hansen. Data Mining and Mathematical Programming (Crm Proceedings & Lecture Notes). – М.: , 2008. – 234 с.
  17. Matt Casters, Roland Bouman, Jos van Dongen. Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration. – М.: Wiley Publishing, Inc, 2010. – 718 с.
  18. Stephane Heritier. Robust Methods in Biostatistics. – М.: , 2009. – 292 с.
  19. Dilip M. Ranade. Shared Data Clusters. – М.: , 2002. – 448 с.
  20. Michael Otey. Microsoft SQL Server 2008 High Availability with Clustering & Database Mirroring. – М.: McGraw-Hill Osborne Media, 2011. – 304 с.
  21. Delivering Business Intelligence With Microsoft Sql Server 2008. – М.: , 2011. – 792 с.
  22. Oracle Database 11G Release 2 High Availability: Maximize Your Availability With Grid Infrastructure, Rac And Data Guard. – М.: , 2011. – 560 с.
  23. K. Gopalakrishnan. Oracle Database 11g: Real Application Clusters Handbook. – М.: McGraw-Hill Osborne Media, 2011. – 544 с.
  24. Julie Dorsey, Holly Rushmeier, Francois Sillion. Digital Modeling of Material Appearance. – М.: Morgan Kaufmann, 2007. – 336 с.
  25. Moore. Patrick Moore's Data Book of Astronomy. – М.: , 2014. – 588 с.
  26. Bharat Tidke and Rupa Mehta. A Novel Approach For High Dimensional Data Clustering. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  27. rinku mukherjee. Decambering: A numerical tool to predict post-stall aerodynamic data. – М.: LAP Lambert Academic Publishing, 2009. – 108 с.
  28. Hitesh Chhinkaniwala and Sanjay Garg. Privacy Preserving Data Mining - Issues & Techniques. – М.: Scholars Press, 2014. – 120 с.
  29. Peifang Guo and Prabir Bhattacharya. A Model Based Framework for Object Detection via Data Transformation. – М.: LAP Lambert Academic Publishing, 2013. – 64 с.
  30. B.U. Sajeev. On Certain Patterns of Self Help Group Data: Using Clustering Approach. – М.: LAP Lambert Academic Publishing, 2014. – 168 с.
  31. Neha Aggarwal and Kirti Aggarwal. An Improved K-means Clustering Algorithm For Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  32. Michael Naish. Sensing-System Planning. – М.: LAP Lambert Academic Publishing, 2010. – 248 с.
  33. Golam Md. Muradul Bashir. Content Clustering of Computer Mediated Courseware. – М.: LAP Lambert Academic Publishing, 2011. – 112 с.
  34. Chandan Srivastava. Support Vector Data Description. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  35. Rubi Gupta and Pradeep Poddar. Future Mobile Communications Reaching for Ever Increasing Data Rates. – М.: LAP Lambert Academic Publishing, 2015. – 80 с.
  36. M.B. Shah,S.N. Merchant and U.B. Desai. Efficient Clustering Algorithms for Cell phone based Sensor Networks. – М.: LAP Lambert Academic Publishing, 2014. – 108 с.
  37. Md. Samsuzzaman,Md. Ibrahim Abdullah and Md. Abdul Masud. Relay Node Selection Technique in Homogeneous Cluster Based WSN. – М.: LAP Lambert Academic Publishing, 2011. – 108 с.
  38. Arwa Ben Dhia and Lirida Naviner. Designing a Robust Mesh of Clusters FPGA. – М.: LAP Lambert Academic Publishing, 2015. – 116 с.
  39. Sridhar Rajagopal. Data-parallel Digital Signal Processors. – М.: LAP Lambert Academic Publishing, 2011. – 196 с.
  40. Pierre de Lamberterie. The Assessment of Robust Autonomy in Unmanned Aircraft systems. – М.: Scholars' Press, 2013. – 172 с.
  41. Muhammad Inayat Ullah and Muhammad Shahid. IMPROVING THE EFFICIENCY OF MEDICAL EXPERT SYSTEM. – М.: LAP Lambert Academic Publishing, 2010. – 60 с.
  42. Gabor Rodonyi. Structured uncertainty modelling for robust control. – М.: LAP Lambert Academic Publishing, 2012. – 180 с.
  43. Fengxiang Qiao. INTELLIGENT DATA DEPENDENT MODELING OF TRAFFIC FLOW. – М.: LAP Lambert Academic Publishing, 2010. – 244 с.
  44. Omar Arif. Robust Target Localization and Segmentation. – М.: LAP Lambert Academic Publishing, 2010. – 116 с.
  45. Benard Nsamba,Edward Jurua and Simon K. Anguma. Mass Loss and Age of the RGC Stars in the Kepler Cluster NGC 6819. – М.: LAP Lambert Academic Publishing, 2014. – 96 с.
  46. Ranjit Kumar Paul and Lalmohan Bhar. Robust Analysis of Agricultural Field Experiments. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  47. Olatunji Babatola. International population mobility and risk to sexual health in Nigeria. – М.: LAP Lambert Academic Publishing, 2012. – 252 с.
  48. Md. Bahadur Badsha. Robust Clustering for Gene Expression Data Study in Bioinformatics. – М.: LAP Lambert Academic Publishing, 2014. – 148 с.
  49. Farah Rejwana. Analysis of cold stress using Affymetrix microarrays. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  50. Naeem Shahzad,Sajid Iqbal and Asim Daud. Satellite Image Classification - a Guided Clustering Approach. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  51. Olanrewaju Shittu. Analysis of Time Series Data in the Presence of Outliers. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  52. Francisco Javier Molina Lopez. Three clustering algorithms and their application to microarray data. – М.: LAP Lambert Academic Publishing, 2010. – 96 с.
  53. Uma Maheshwari and Santhosh Rebello. Soft Computing Methodologies for Cluster Analysis and Gene Prediction. – М.: LAP Lambert Academic Publishing, 2011. – 56 с.
  54. Dina Elsayad and Amal Khalifa. Parallel Minimum Spanning Tree-based Clustering Techniques. – М.: LAP Lambert Academic Publishing, 2013. – 112 с.
  55. Damodar Reddy Edla and Prasanta K. Jana. Clustering Algorithms for Biological Data. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  56. Mohd Shannawaz. Mortality during infancy and its Clustering in India. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  57. Kathleen Lyden. New Data, New Doubts: Revised 2013. – М.: LAP Lambert Academic Publishing, 2014. – 108 с.
  58. Utkarsh Raj,Naina Mahajan and Santosh Pal. Microarray data analysis of M.tuberculosis whole genome using Genesis. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.
  59. Gozde Ulutagay and Efendi Nasibov. Fuzzy Neighborhood-Based Clustering. – М.: LAP Lambert Academic Publishing, 2011. – 144 с.
  60. Mohit Kumar,Arjun Singh and Piyush Kapoor. GRAPH CLUSTERING USING RESTRICTED NEIGHBOURHOOD SEARCH ALGORITHM. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  61. Luping Yang. Modeling Of Pdfs Of Non-Gaussian Data. – М.: LAP Lambert Academic Publishing, 2012. – 136 с.
  62. Guzman Santafe. Advances in Supervised and Unsupervised Learning of Bayesian Networks. – М.: LAP Lambert Academic Publishing, 2010. – 224 с.
  63. Jorge Caiado. Classification and clustering of time series. – М.: LAP Lambert Academic Publishing, 2010. – 208 с.
  64. Ravi Ramakrishnan. Robust multivariate and nonlinear time series models. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.
  65. Surajit Ray. Clustering, Cluster Inference and Applications in Clustering. – М.: LAP Lambert Academic Publishing, 2011. – 184 с.
  66. Michael Give Chipeta. Analysis of Zero Altered & Inflated Data. – М.: LAP Lambert Academic Publishing, 2012. – 104 с.
  67. Donglin Niu. Multiple alternative clusterings and dimensionality reduction. – М.: Scholars' Press, 2014. – 148 с.
  68. Chibuike Nnamani,Shehu Usman Gulumbe and Davou Nyap Choji. Cluster Analysis Using Probability. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  69. Jan Stochl. Effects of Ignoring Clustered Data Structures in Factor Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 100 с.
  70. Sanyogita Andriyas. Data mining for performance of vegetative filter strips. – М.: LAP Lambert Academic Publishing, 2013. – 216 с.
  71. Rand Mohanned Alsheikly and Iden Hasan Alkanani. Fuzzy Cluster Analysis With Application on Atherosclerosis Disease. – М.: LAP Lambert Academic Publishing, 2014. – 112 с.
  72. Abdel Rahim Al Atrash. Robust Data Envelopment Analysis model. – М.: LAP Lambert Academic Publishing, 2013. – 120 с.
  73. Jesse McCrosky. A New Measure for Clustering Model Selection. – М.: LAP Lambert Academic Publishing, 2010. – 68 с.
  74. Ming Wang. Clustered longitudinal data analysis. – М.: LAP Lambert Academic Publishing, 2010. – 68 с.
  75. Suvarna Pawar. Use of classification algorithm under data mining for managing asthma. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  76. Jalandhar Pradhan. Clustering of Child Mortality. – М.: LAP Lambert Academic Publishing, 2011. – 76 с.
  77. Philothe Kabasele. Testing The Matrix Language Frame Model: Data From French-lingala. – М.: LAP Lambert Academic Publishing, 2013. – 136 с.
  78. Prabhjot Kaur,Shashank Sharma and Megha Goel. Robust Data Clustering. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  79. Tessema Genanew Jember. Multivariate Data Analysis Using R Software. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  80. S. A. Ahsan Rajon. Energy Efficient Data Communication for Resource Constrained Systems. – М.: LAP Lambert Academic Publishing, 2014. – 84 с.
  81. Mrutyunjaya Panda and Manas Ranjan Patra. A Data Mining Approach to Network Intrusion Detection. – М.: LAP Lambert Academic Publishing, 2015. – 216 с.
  82. Vinothkumar Jambulingam. Highly consistent and secured data delivery for mobile ad-hoc networks. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  83. Akira Otsuki. Big Data Analysis. – М.: LAP Lambert Academic Publishing, 2013. – 96 с.
  84. Ahmed EzzEldin. Secure Clustering in Multi-Modal Wireless Sensor Networks. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  85. Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  86. Ping Chen and Daniel Barbara. FRACTAL CLUSTERING. – М.: LAP Lambert Academic Publishing, 2010. – 140 с.
  87. Martin Malcik. Fuzzy Approach to Hierarchical Clustering. – М.: LAP Lambert Academic Publishing, 2011. – 120 с.
  88. Nisarg Shah. Data Mining Concept Animation Library. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  89. Emad E. Abdallah. Robust Digital Watermarking Techniques for Multimedia Protection. – М.: LAP Lambert Academic Publishing, 2012. – 152 с.
  90. Dalvinder Singh Dhaliwal. Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 164 с.
  91. Dejan Gope. Cluster Based Data Labeling for Categorical Data. – М.: LAP Lambert Academic Publishing, 2013. – 116 с.
  92. Bibi Masoomeh Aslahi Shahri. Intrusion Detection System Using Hybrid Gsa-kmeans. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  93. Uros Damnjanovic. Clustering of Visual Information Using Spectral Methods. – М.: LAP Lambert Academic Publishing, 2010. – 172 с.
  94. Shadi Abudalfa. Metaheuristic Clustering Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  95. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  96. Chandan Srivastava. Clustering and Neural Network Approaches for General NN-Simulator. – М.: LAP Lambert Academic Publishing, 2011. – 68 с.
  97. Xiaojun Chen and Premlal Bhattrai. Clustering And Optimization Models for Commercial Decisions. – М.: LAP Lambert Academic Publishing, 2011. – 100 с.
  98. Hasan Al-Jabbouli. Data clustering using the Bees Algorithm and the Kd-Tree structure. – М.: LAP Lambert Academic Publishing, 2011. – 208 с.
  99. Sauravjyoti Sarma and Dhruba K. Bhattacharyya. Clustering Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 200 с.
  100. Sadiq Hussain. Interesting Pattern Extraction over High Dimensional Data. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  101. Yang Liu. Web User Clustering and Surfing Recommendation. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  102. Prashanth Kumar Devarakonda and Raghu Nangunuri. Clustering Categorical data. – М.: LAP Lambert Academic Publishing, 2012. – 52 с.
  103. Mulugeta Asres. Application of Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  104. Hrishav Bakul Barua and Dhiraj Kumar Das. Clustering Concepts and Techniques. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  105. Ammisetty Veeraswamy. Rough Fuzzy Clustering Using Decision Theory. – М.: LAP Lambert Academic Publishing, 2012. – 100 с.
  106. Marco Fisichella. Clustering Information Entities Based On Statistical Methods. – М.: LAP Lambert Academic Publishing, 2013. – 152 с.
  107. Rosa Filgueira,David Exposito and Jesus Carretero. Optimization techniques for parallel applications on clusters. – М.: LAP Lambert Academic Publishing, 2010. – 152 с.
  108. Faicel Chamroukhi. Probabilistic Learning From Longitudinal Data. – М.: LAP Lambert Academic Publishing, 2011. – 252 с.
  109. Andri Mirzal. Nonnegative Matrix Factorizations for Clustering and LSI. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.
  110. Afzal Saleemi and Akhter Raza. Filtering and smoothing of financial data using Wavelets. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  111. Thair Mahmoud,Tang Hong and Mohammad Marhaban. An Improved Fuzzy PD-Like Controller for MIMO Twin Rotor System. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  112. Ramya C. and Shreedhara K. S. Data Mining: Prerequisites of Web Usage Mining. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  113. Faisal Bin Al Abid. Development Of An Efficient Grid Based Partitioning -Around -Medoids. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  114. Giovanni Ponti. Advances in Mining Complex Data: Modeling and Clustering. – М.: LAP Lambert Academic Publishing, 2013. – 248 с.
  115. Brian E. Weinrich. A Formal Design for Three-Dimensional Spatial Data in Database Systems. – М.: LAP Lambert Academic Publishing, 2009. – 172 с.
  116. Hooman Homayounfar. Sibling-First Data Organization. – М.: LAP Lambert Academic Publishing, 2010. – 252 с.
  117. Premlal Bhattrai. Membership Card Generation based on Clustering and Optimization Models. – М.: LAP Lambert Academic Publishing, 2013. – 80 с.
  118. Eena Sidana and Priyanka Trikha. Modification in kNN. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  119. Ramyachitra Duraisamy and Manikandan Pandurangan. Data Mining Techniques for Protein Sequence Analysis. – М.: LAP Lambert Academic Publishing, 2014. – 88 с.
  120. Johnson Thie. Optimal Erasure Protection Assignment for Scalable Data. – М.: LAP Lambert Academic Publishing, 2009. – 164 с.
  121. Ehsan Mohebi. Optimized Thresholding on Self Organizing Map for Cluster Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  122. Vijendra Singh and Shivani Pathak. Detecting Outliers: A Univariate Outlier and K-Means Approach. – М.: LAP Lambert Academic Publishing, 2013. – 64 с.
  123. Hemalatha Marimuthu. Hybrid Models for High Dimensional Clustering and Pattern Discovery. – М.: LAP Lambert Academic Publishing, 2012. – 208 с.
  124. Ying Cui. High Dimensional Clustering and Applications of Learning Methods. – М.: LAP Lambert Academic Publishing, 2009. – 160 с.
  125. Ahmed Rafat. An Adaptive Approach for Clustering Incomplete Data Sets. – М.: LAP Lambert Academic Publishing, 2010. – 192 с.
  126. Roberto Javier Lopez-Sastre. Towards Semantic and Effective Visual Codebooks. – М.: LAP Lambert Academic Publishing, 2011. – 168 с.
  127. Luobin Yang. High Performance and High Throughput Bioinformatics. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  128. Andrey Palma,Luis Otavio Alvares and Vania Bogorny. A Clustering-Based Approach for Discovering Places in Trajectories. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  129. Wim De Mulder. Robustness and optimality in the context of cluster analysis. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  130. Carlos Eduardo Pires. Clustering Peers in Semantic Communities. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  131. Jue Wang. DATA MINING METHODOLOGY DEVELOPMENT. – М.: LAP Lambert Academic Publishing, 2010. – 104 с.
  132. Renato Cordeiro de Amorim. Feature weighting for clustering. – М.: LAP Lambert Academic Publishing, 2012. – 176 с.
  133. Vladimir Shestak. ROBUST RESOURCE ALLOCATION FOR PARALLEL DISTRIBUTED COMPUTING SYSTEMS. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.
  134. Amr Magdy,Nagwa M. El-Makky and Noha A. Yousri. Discovering Clusters of Arbitrary Shapes and Densities in Data Streams. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  135. Terje Kristensen,Vemund Jakobsen and Alvhild Alette Bjorkum. Data Clustering. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.
  136. Raghav Subbarao and Peter Meer. Robust Statistics Over Riemannian Manifolds. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  137. Fawad Hussain. Co-Similarity Approach to Co-clustering. – М.: LAP Lambert Academic Publishing, 2011. – 208 с.
  138. Cagin Kandemir-Cavas and Efendi Nasibov. Clustering and Classification Methods Used in Biosequence Analysis. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  139. Suresh Veluru and Viswanath Pulabaigari. Scalable Non-Parametric Pattern Recognition Techniques for Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  140. Rajesh P.,Priya S. and Priyanka R. Modified energy efficient hierarchical clustering algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.

Лучшие результаты

Ничего не найдено

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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