A CLASSIFICATION ALGORITHM USING MAHALANOBIS DISTANCE CLUSTERING OF DATA WITH APPLICATIONS ON BIOMEDICAL DATA SETS

...................................................................................................... iii ÖZ......... ............................................................................................................ v LIST OF TABLES ............................................................................................... x LIST OF FIGURES ............................................................................................ xi CHAPTERS

[1]  Ian Witten,et al.  Data Mining , 2000 .

[2]  Arvin Agah,et al.  Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data , 2008, Computational Intelligence in Biomedicine and Bioinformatics.

[3]  Thomas Hill.  Statistics: Methods and Applications , 2005 .

[4]  Lior Rokach,et al.  Data Mining And Knowledge Discovery Handbook , 2005 .

[5]  Ephrem Eyob.  Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions , 2008 .

[6]  Ying Zhang,et al.  Rule Extraction from Trained Support Vector Machines , 2005, PAKDD.

[7]  Heikki Mannila,et al.  Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.

[8]  E. Kamen,et al.  Introduction to Optimal Estimation , 1999 .

[9]  Mohammad Reza Meybodi,et al.  A fuzzy clustering algorithm using cellular learning automata based evolutionary algorithm , 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

[10]  Naveen Kumar,et al.  Data Mining for Business Intelligence–Concepts, Techniques, and Applications in Microsoft Office Excel® with XLMiner® , 2012 .

[11]  Cornelius T. Leondes,et al.  Intelligent Knowledge-Based Systems , 2005 .

[12]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[13]  Witold Pedrycz,et al.  Knowledge-based clustering - from data to information granules , 2007 .

[14]  Lorenzo Bruzzone,et al.  Kernel methods for remote sensing data analysis , 2009 .

[15]  Dan Roth,et al.  On Kernel Methods for Relational Learning , 2003, ICML.

[16]  M. Rahmati,et al.  047-04 A Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm , 2004 .

[17]  Rashmi.  Data Mining: A Knowledge Discovery Approach , 2012 .

[18]  Michael J. A. Berry,et al.  Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .

[19]  Pawel Lewicki,et al.  Statistics : methods and applications : a comprehensive reference for science, industry, and data mining , 2006 .

[20]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[21]  Glenn J. Myatt,et al.  Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel(r) with Xlminer(tm) + Making Sense of Data Set , 2008 .

[22]  Weifeng Liu,et al.  Kernel Adaptive Filtering: A Comprehensive Introduction , 2010 .

[23]  Le Thi Hoai An,et al.  Hierarchical Clustering Based on Mathematical Optimization , 2006, PAKDD.

[24]  Didier H. Besset.  Object-Oriented Implementation of Selected Numerical Methods: An Introduction with Java and Smalltalk , 2000 .

[25]  Bhavani Thuraisingham,et al.  Design and Implementation of Data Mining Tools , 2009 .

[26]  Ji Hyea Han,et al.  Data Mining : Concepts and Techniques 2 nd Edition Solution Manual , 2005 .

[27]  Kevin L. Priddy,et al.  Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68) , 2005 .

[28]  Thomas Gärtner,et al.  Kernels for Predictive Graph Mining , 2005, GfKl.

[29]  Donald K. Wedding,et al.  Discovering Knowledge in Data, an Introduction to Data Mining , 2005, Inf. Process. Manag..

[30]  Werner Krischer,et al.  The Data Analysis BriefBook , 1998 .

[31]  Patricia B. Cerrito.  Introduction to Data Mining Using SAS Enterprise Miner , 2006 .

[32]  Marti A. Hearst.  Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..

[33]  Aihua Li,et al.  An Integrated Classification Method: Combination of LP and LDA , 2005, WINE.

[34]  Daniela Richter,et al.  Classification of Landslide Susceptibility in the Development of Early Warning Systems , 2008, SDH.

[35]  Vipin Kumar,et al.  Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data , 2003, SDM.