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Лучшие результаты

  1. Tamal Ghosh and Pranab Dan. Soft Computing Based Techniques in Cellular Manufacturing Systems. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  2. AbdelMonaem AbdAllah,Khalid Eldrandaly and AbdelHadi Ahmed. Intelligent GIS-based Decision Support System for Bus Routing Problem. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  3. Shadi Abudalfa. Metaheuristic Clustering Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  4. Bin Hu. Hybrid Metaheuristics for Generalized Network Design Problems. – М.: LAP Lambert Academic Publishing, 2012. – 172 с.

Дополнительные результаты

  1. Frontiers in Algorithmics and Algorithmic Aspects in Information and Management: Joint International Conference, FAW-AAIM 2012, Beijing, China, May ... Computer Science and General Issues). – М.: , 2012. – 400 с.
  2. Knut Westeren. Foundations of the Knowledge Economy: Innovation, Learning and Clusters. – М.: , 2012. – 296 с.
  3. Business Networks in Clusters and Industrial Districts: The Governance of the Global Value Chain. – М.: , 2012. – 418 с.
  4. Clusters in Automotive and Information & Communication Technology: Innovation, Multinationalization and Networking Dynamics. – М.: , 2012. – 308 с.
  5. M Schoeffel, Fudancy Research. Algorithmic Trading - Algorithmic Trading Strategies - Compendium: Volumes 21 to 40: Trading Systems Research And Development (Volume 2). – М.: , 2012. – 156 с.
  6. G. M. P. Swann, Martha Prevezer, David Stout, G. M. Peter Swann, David K. Stout. The Dynamics of Industrial Clustering: International Comparisons in Computing and Biotechnology. – М.: , 0. – 0 с.
  7. Herbert Dawid. Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models. – М.: , 0. – 0 с.
  8. Mario A. Maggioni. Clustering Dynamics and the Location of High-Tech Firms (Contributions to Economics). – М.: , 0. – 0 с.
  9. Ricardo Sal Zebulum, Marco Aurelio Pacheco, Marley Maria B.R. Vellasco, Marley Maria Bernard Vellasco. Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms. – М.: , 0. – 0 с.
  10. Abhijit Mookerjee, Abhjit Mookerjee. Electronic Structure of Alloys, Surfaces and Clusters (Advances in Condensed Matter Science). – М.: , 0. – 0 с.
  11. Richard J. Bauer. Genetic Algorithms and Investment Strategies (Wiley Finance). – М.: , 0. – 0 с.
  12. Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin. Network Flows: Theory, Algorithms, and Applications. – М.: , 0. – 0 с.
  13. Mark S. Daskin, Mark S. Daskin. Network and Discrete Location: Models, Algorithms, and Applications. – М.: , 0. – 0 с.
  14. Fred Glover, Gary A. Kochenberger. Handbook of Metaheuristics (International Series in Operations Research & Management Science, 57). – М.: , 0. – 0 с.
  15. Konstantin Kogan, Eugene Khmelnitsky. Scheduling: Control-Based Theory and Polynomial-Time Algorithms (Applied Optimization Volume 43). – М.: , 0. – 0 с.
  16. Michael J. Weiss. The Clustered World : How We Live, What We Buy, and What It All Means About Who We Are. – М.: , 0. – 0 с.
  17. Frederick Jelinek. Statistical Methods for Speech Recognition (Language, Speech, and Communication). – М.: The MIT Press, 1998. – 300 с.
  18. M. I. Torres, Alberto Sanfeliu. Pattern Recognition and Applications. – М.: , 0. – 0 с.
  19. Innovation Clusters and Interregional Competition (Advances in Spatial Science). – М.: , 2003. – 0 с.
  20. Larisa V Shavinina. Silicon Valley North : A High-Tech Cluster of Innovation and Entrepreneurship (Technology, Innovation, Entrepreneurship and Competitive Strategy). – М.: , 2004. – 0 с.
  21. Metaheuristics: : Progress as Real Problem Solvers (Operations Research/Computer Science Interfaces Series). – М.: , 2005. – 0 с.
  22. Metaheuristics for Multiobjective Optimisation (Lecture Notes in Economics and Mathematical Systems). – М.: , 2004. – 0 с.
  23. Mario Davide Parrilli. SME Cluster Development: A Dynamic View of Survival Clusters in Developing Countries. – М.: , 2007. – 224 с.
  24. Perry. Business Clusters: An International Perspective (Routledge Studies in Business Organizations and Networks). – М.: , 2007. – 256 с.
  25. Franz Rothlauf. Representations for Genetic and Evolutionary Algorithms. – М.: , 2006. – 325 с.
  26. Multinationals, Clusters and Innovation: Does Public Policy Matter?. – М.: , 2006. – 352 с.
  27. Ross Baldick. Applied Optimization: Formulation and Algorithms for Engineering Systems. – М.: , 2006. – 786 с.
  28. Peter Brucker. Scheduling Algorithms. – М.: Springer, 2007. – 371 с.
  29. Knowledge Externalities, Innovation Clusters and Regional Development. – М.: Edward Elgar Publishing, 2007. – 308 с.
  30. Enrique Alba, Bernabe Dorronsoro. Cellular Genetic Algorithms (Operations Research/Computer Science Interfaces Series). – М.: , 2008. – 248 с.
  31. Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems). – М.: , 2008. – 514 с.
  32. Neslihan Aydogan, Yiu Por Chen. Social Capital and Business Development in High-Technology Clusters: An Analysis of Contemporary U.S. Agglomerations (International Studies in Entrepreneurship). – М.: , 2008. – 111 с.
  33. South-Western Educational Publishing. The 16 Career Clusters: A Project-Based Orientation (with iMPACT Interactive CD-ROM). – М.: , 2008. – 188 с.
  34. The Economics of Regional Clusters: Networks, Technology and Policy (New Horizons in Regional Science). – М.: , 2008. – 311 с.
  35. Handbook of Research on Cluster Theory (Handbooks of Research on Clusters Series). – М.: , 2008. – 316 с.
  36. Algorithmic Game Theory: First International Symposium, SAGT 2008, Paderborn, Germany, April 30 - May 2, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 363 с.
  37. Abraham Ninan. Economic Development of a Queensland Industry: Clusters, Networks, and Policy to Harness Creativity. – М.: , 2008. – 328 с.
  38. Algorithmic Aspects in Information and Management: 4th International Conference, AAIM 2008, Shanghai, China, June 23-25, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 350 с.
  39. Recent Advances in Evolutionary Computation for Combinatorial Optimization (Studies in Computational Intelligence). – М.: , 2008. – 338 с.
  40. Zdenek Dostal. Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities (Springer Optimization and Its Applications). – М.: , 2009. – 284 с.
  41. Ewen Michael. Micro-Clusters and Networks: The Growth of Tourism. – М.: Elsevier Science, 2007. – 204 с.
  42. Rob Koepp. Clusters of Creativity. – М.: , 2002. – 296 с.
  43. Barry Johnson. Algorithmic Trading and DMA: An introduction to direct access trading strategies. – М.: 4Myeloma Press, 2010. – 592 с.
  44. Dan Gusfield. Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology. – М.: Cambridge University Press, 1997. – 554 с.
  45. Alan Gibbons. Algorithmic Graph Theory. – М.: , 0. – 0 с.
  46. Jean-Daniel Boissonnat, Mariette Yvinec, H. Bronniman. Algorithmic Geometry. – М.: , 0. – 0 с.
  47. Ronald W. Shonkwiler, Lew Lefton. An Introduction to Parallel and Vector Scientific Computation (Cambridge Texts in Applied Mathematics). – М.: , 2006. – 304 с.
  48. Maxime Crochemore, Christophe Hancart, Thierry Lecroq. Algorithms on Strings. – М.: Cambridge University Press, 2007. – 392 с.
  49. Hiroshi Nagamochi, Toshihide Ibaraki. Algorithmic Aspects of Graph Connectivity (Encyclopedia of Mathematics and its Applications). – М.: , 2008. – 392 с.
  50. Dr Hassan Rashidi, Professor Edward. Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems. – М.: , 2010. – 212 с.
  51. Martin Charles Golumbic. Algorithmic Graph Theory and Perfect Graphs (ANNALS OF DISCRETE MATHEMATICS). – М.: , 0. – 0 с.
  52. Karl Fraser, Zidong Wang, Xiaohu Liu. Microarray Image Analysis: An Algorithmic Approach (Chapman & Hall/CRC Computer Science & Data Analysis). – М.: , 2010. – 335 с.
  53. Xin–She Yang. Engineering Optimization: An Introduction with Metaheuristic Applications. – М.: John Wiley and Sons, Ltd, 2010. – 376 с.
  54. Bharat Tidke and Rupa Mehta. A Novel Approach For High Dimensional Data Clustering. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  55. B.U. Sajeev. On Certain Patterns of Self Help Group Data: Using Clustering Approach. – М.: LAP Lambert Academic Publishing, 2014. – 168 с.
  56. Neha Aggarwal and Kirti Aggarwal. An Improved K-means Clustering Algorithm For Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  57. Banani Basu and Arnab Nandi. Evolutionary Algorithms in Optimization of Linear Antenna Array. – М.: LAP Lambert Academic Publishing, 2014. – 72 с.
  58. 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.
  59. Vipula Singh and Navin Rajpal. Development of Image Compression Compression Algorithms. – М.: LAP Lambert Academic Publishing, 2011. – 172 с.
  60. AbdolMajid Shahgholi,Dr. K. K. Shukla and Dr. Rajeev Srivastava. LARGE SCALE WIRELESS SENSOR NETWORK FOR TACTICAL MILITARY APPLICATIONS. – М.: LAP Lambert Academic Publishing, 2012. – 92 с.
  61. Harikumar Rajaguru and Vinoth kumar Bojan. Analysis of Quality Measures for Medical Image Segmentation. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.
  62. Tamal Ghosh and Pranab Dan. Soft Computing Based Techniques in Cellular Manufacturing Systems. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  63. Mousumi Modak and Pranab K. Dan. Computational Techniques to Solve Part Family Formation Problem. – М.: LAP Lambert Academic Publishing, 2012. – 104 с.
  64. Suman Sinha. MONTE CARLO SIMULATION IN SOME CONTINUOUS LATTICE SPIN MODELS. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  65. Levent Kurnaz and Hamza Alt?nsoy. Correlation Analysis of Housing Prices and Economic Indicators. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.
  66. Jaroslaw Zdebik. Merging and splitting of clusters in the calorimeter of KLOE detector. – М.: LAP Lambert Academic Publishing, 2010. – 80 с.
  67. AbdelMonaem AbdAllah,Khalid Eldrandaly and AbdelHadi Ahmed. Intelligent GIS-based Decision Support System for Bus Routing Problem. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  68. Francisco Javier Molina Lopez. Three clustering algorithms and their application to microarray data. – М.: LAP Lambert Academic Publishing, 2010. – 96 с.
  69. Jaskirat Kaur. Clustering and optimization based image segmentation techniques. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  70. Dina Elsayad and Amal Khalifa. Parallel Minimum Spanning Tree-based Clustering Techniques. – М.: LAP Lambert Academic Publishing, 2013. – 112 с.
  71. Damodar Reddy Edla and Prasanta K. Jana. Clustering Algorithms for Biological Data. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  72. Mohit Kumar,Arjun Singh and Piyush Kapoor. GRAPH CLUSTERING USING RESTRICTED NEIGHBOURHOOD SEARCH ALGORITHM. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  73. C. Kiruthika. Artificial Neural Network Approach To Certain Classification Problems. – М.: LAP Lambert Academic Publishing, 2014. – 104 с.
  74. Jorge Caiado. Classification and clustering of time series. – М.: LAP Lambert Academic Publishing, 2010. – 208 с.
  75. Donglin Niu. Multiple alternative clusterings and dimensionality reduction. – М.: Scholars' Press, 2014. – 148 с.
  76. Sanyogita Andriyas. Data mining for performance of vegetative filter strips. – М.: LAP Lambert Academic Publishing, 2013. – 216 с.
  77. Hongmei He. Algorithms on the Book Crossing Number Problem of Graphs. – М.: LAP Lambert Academic Publishing, 2014. – 308 с.
  78. Jesse McCrosky. A New Measure for Clustering Model Selection. – М.: LAP Lambert Academic Publishing, 2010. – 68 с.
  79. Sriram Penumatcha. On The Correlation Clustering Problem. – М.: LAP Lambert Academic Publishing, 2009. – 64 с.
  80. Alejandro Mussi Campos Cervera. Discovering and analyzing scientific communities. – М.: LAP Lambert Academic Publishing, 2010. – 84 с.
  81. Glory Shah. An Improved DBSCAN Algorithm for High Dimensional Datasets. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  82. Jalel Euchi. Metaheuristics to solve some variants of vehicle routing problems. – М.: LAP Lambert Academic Publishing, 2012. – 156 с.
  83. Prabhjot Kaur,Shashank Sharma and Megha Goel. Robust Data Clustering. – М.: LAP Lambert Academic Publishing, 2013. – 88 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. Suman Paul. Study of Cluster Based Algorithm in MANET using Network Simulator. – М.: LAP Lambert Academic Publishing, 2015. – 52 с.
  86. Bolian Yin,Hongchi Shi and Yi Shang. ADAPTIVE CLUSTERING AND TRANSMISSION RANGE ADJUSTMENT. – М.: LAP Lambert Academic Publishing, 2010. – 124 с.
  87. Rajesh Krishnan. Efficient Algorithms for Self-organizing Wireless Sensor Networks. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.
  88. Andhe Dharani,M. N. Vijayalakshmi and M. Krishna. Optimal Energy Utilization in Sensor Networks by Clustering. – М.: LAP Lambert Academic Publishing, 2012. – 92 с.
  89. Sepideh Afkhami Goli. Clustering in Wireless Sensor Networks. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  90. Ahmed EzzEldin. Secure Clustering in Multi-Modal Wireless Sensor Networks. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  91. Rakhee Mohiddin. LOCATION-CLUSTERING TECHNIQUES FOR WLAN LOCATION ESTIMATION SYSTEMS. – М.: LAP Lambert Academic Publishing, 2011. – 76 с.
  92. Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  93. Ping Chen and Daniel Barbara. FRACTAL CLUSTERING. – М.: LAP Lambert Academic Publishing, 2010. – 140 с.
  94. Martin Malcik. Fuzzy Approach to Hierarchical Clustering. – М.: LAP Lambert Academic Publishing, 2011. – 120 с.
  95. Henock Tilahun Teffera. Automatic construction of labeled clusters of named entities for IR. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  96. Dalvinder Singh Dhaliwal. Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 164 с.
  97. Raed Aldahdooh and Wesam Ashour. Enhancing and Combining a Recent K-means Family of Algorithms. – М.: LAP Lambert Academic Publishing, 2013. – 120 с.
  98. Ludovit Petrzala. Discovery of association rules in datasets via evolutionary algorithms. – М.: LAP Lambert Academic Publishing, 2014. – 96 с.
  99. Md. Hedayetul Islam Shovon. Clustering and Image Segmentation. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  100. Mohammed Elbatta. New Algorithms for Best Results In Varied Densities. – М.: LAP Lambert Academic Publishing, 2013. – 96 с.
  101. Uros Damnjanovic. Clustering of Visual Information Using Spectral Methods. – М.: LAP Lambert Academic Publishing, 2010. – 172 с.
  102. Syed Zulqarnain Ahmad Gilani. Automated Glacier Segmentation By Fast Adaptive Medoid Shift Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  103. Shadi Abudalfa. Metaheuristic Clustering Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  104. Chandan Srivastava. Clustering and Neural Network Approaches for General NN-Simulator. – М.: LAP Lambert Academic Publishing, 2011. – 68 с.
  105. Hasan Al-Jabbouli. Data clustering using the Bees Algorithm and the Kd-Tree structure. – М.: LAP Lambert Academic Publishing, 2011. – 208 с.
  106. Yang Liu. Web User Clustering and Surfing Recommendation. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  107. Amit Yerpude and Sipi Dubey. Modified K- Medoids Algorithm For Image Segmentation. – М.: LAP Lambert Academic Publishing, 2012. – 68 с.
  108. Bin Hu. Hybrid Metaheuristics for Generalized Network Design Problems. – М.: LAP Lambert Academic Publishing, 2012. – 172 с.
  109. Ammisetty Veeraswamy. Rough Fuzzy Clustering Using Decision Theory. – М.: LAP Lambert Academic Publishing, 2012. – 100 с.
  110. Marco Fisichella. Clustering Information Entities Based On Statistical Methods. – М.: LAP Lambert Academic Publishing, 2013. – 152 с.
  111. Diego Reforgiato Recupero. ANTIPOLE TREE INDEXING AND GRAPHGREPVF. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.
  112. Fan Jiang. Anomalous Event Detection From Surveillance Video. – М.: LAP Lambert Academic Publishing, 2011. – 96 с.
  113. Bertold van Voorst. Cluster-based collection selection for information retrieval. – М.: LAP Lambert Academic Publishing, 2011. – 84 с.
  114. Andri Mirzal. Nonnegative Matrix Factorizations for Clustering and LSI. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.
  115. Ramya C. and Shreedhara K. S. Data Mining: Prerequisites of Web Usage Mining. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  116. Mohamed A. El-Sayed. Algorithms for Image Thresholding. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  117. Giovanni Ponti. Advances in Mining Complex Data: Modeling and Clustering. – М.: LAP Lambert Academic Publishing, 2013. – 248 с.
  118. Atri Sanyal,Swapan Kumar Samaddar and Amitabha Sinha. Performance Analysis of FDCT Algorithms. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  119. Eugenia Moreira Bernardino. Solving the Terminal Assignment Problem using Optimisation Algorithms. – М.: LAP Lambert Academic Publishing, 2014. – 204 с.
  120. Siddanagouda S. Patil. Pattern Classification of Grass Genome Sequences. – М.: LAP Lambert Academic Publishing, 2012. – 172 с.
  121. Eena Sidana and Priyanka Trikha. Modification in kNN. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  122. Ramyachitra Duraisamy and Manikandan Pandurangan. Data Mining Techniques for Protein Sequence Analysis. – М.: LAP Lambert Academic Publishing, 2014. – 88 с.
  123. Lev Kazakovtsev. Parallel Random Search Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 60 с.
  124. Ehsan Mohebi. Optimized Thresholding on Self Organizing Map for Cluster Analysis. – М.: LAP Lambert Academic Publishing, 2012. – 124 с.
  125. Ahmed J. Afifi and Wesam Ashour. Image Retrieval Based on Content Using Color Feature. – М.: LAP Lambert Academic Publishing, 2011. – 76 с.
  126. Ying Cui. High Dimensional Clustering and Applications of Learning Methods. – М.: LAP Lambert Academic Publishing, 2009. – 160 с.
  127. Ahmed Rafat. An Adaptive Approach for Clustering Incomplete Data Sets. – М.: LAP Lambert Academic Publishing, 2010. – 192 с.
  128. Roberto Javier Lopez-Sastre. Towards Semantic and Effective Visual Codebooks. – М.: LAP Lambert Academic Publishing, 2011. – 168 с.
  129. Luobin Yang. High Performance and High Throughput Bioinformatics. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  130. Wim De Mulder. Robustness and optimality in the context of cluster analysis. – М.: LAP Lambert Academic Publishing, 2012. – 140 с.
  131. Renato Cordeiro de Amorim. Feature weighting for clustering. – М.: LAP Lambert Academic Publishing, 2012. – 176 с.
  132. 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.
  133. Terje Kristensen,Vemund Jakobsen and Alvhild Alette Bjorkum. Data Clustering. – М.: LAP Lambert Academic Publishing, 2014. – 92 с.
  134. Cagin Kandemir-Cavas and Efendi Nasibov. Clustering and Classification Methods Used in Biosequence Analysis. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  135. Khalifeh Al Jadda. Enhancing Web Clusters'' Quality by Using User Browsing Time. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  136. Rajesh P.,Priya S. and Priyanka R. Modified energy efficient hierarchical clustering algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  137. Reza Behmanesh and Iman Rahimi. Nephron Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 72 с.
  138. Lin Xu,Thomas Henker and Julia Henker. Style Drift Analysis of Hedge Funds. – М.: Scholars' Press, 2013. – 96 с.
  139. Muhammad Akram and Muhammad Imran Shafi. Functional Approach towards Approximation Problems. – М.: , 2010. – 112 с.
  140. Sedat Gokalp. Controversy Analysis. – М.: , 2015. – 72 с.

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Екатерина, 16.02
Примите искренние слова благодарности за тот труд, который вы проделали. Работа замечательная! Мне очень понравилась! Защита прошла прекрасно, я получила 4 и то только потому, что не уложилась в регламент с докладом. Вы и Ваша команда - просто молодцы! Желаю Вам всего самого доброго! Удачи! Счастливо!