A Tour of Advanced Data Mining Methodologies

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  Dan Steinberg: A Tour of Advanced Data Mining Methodologies: The CART Decision Tree. 3-10

Association Rule Mining

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  Emna Bahri, Stéphane Lallich: Pruning for Extracting Class Association Rules Without Candidate Generation. 11-17
• 
  I-En Liao, Ke-Chung Lin, Hong-Bin Chen: Mining Frequent Itemsets by Transaction Decomposition with Itemset Clustering. 18-24
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  Fan Wu, Ya-Han Hu, Kai-Chung Pai: Linked List Based High Utility Itemsets Mining Using Pattern Growth Method. 25-34

Business Intelligence

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  Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao: OLAP For Multicriteria Maintenance Scheduling. 35-41
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  Stamatis Stefanakos: Using Social Ties to Predict Missing Customer Information. 42-47
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  Payyavula Gangadhar, Ravulapalli Lakshmi Tulasi: Advanced Implementation Techniques for Scientific Data Warehouses. 48-54
• 
  Kevin Daimi, Ruth Miller: Analyzing Student Retention with Data Mining. 55-60
• 
  Sulaiman Al-Hudhaif: Automobile Insurance Knowledge Mining. 61-70

Real-World Data Mining Applications, Challenges, and Perspectives

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  Nizar Sakr, Fawaz A. Alsulaiman, Julio Valdes, Abdulmotaleb El-Saddik, Nicolas D. Georganas: Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric Data. 71-77
• 
  Mohammad-Hossein Nadimi-Shahraki, Norwati Mustapha, Md Nasir Sulaiman, Ali B. Mamat: A Prime Number-Based Method for Interactive Frequent Pattern Mining. 78-83
• 
  Majid Rastegar-Mojarad, Behrouz Minaei-Bidgoli: MRC: Multi Relational Clustering approach. 84-89
• 
  Clifton Mortensen, Robert Woodley, Steve Gorrell: Concurrent Agent-enabled Extraction of Computational Fluid Dynamics (CFD) Features in Simulation. 90-96
• 
  Ulf Johansson, Cecilia Sönströd: Fish or Shark - Data Mining Online Poker. 97-103
• 
  Tae-Wan Ryu, Jae Soo Yoo, Michael Allen Bickel: An Efficient Clustering Algorithm based on Sorting and Binary Splitting. 104-109
• 
  R. K. Agrawal, Ashish Chaudhary: Perturbation Scheme for Online Incremental Learning of Features for Face Recognition. 110-116
• 
  Guangzhi Qu, Hui Wu, Tao Xia: A Linear Integer Programming Approach to Objective Aware Feature Selection. 117-123
• 
  Gary M. Weiss: Data Mining in the Real World: Experiences, Challenges, and Recommendations. 124-130
• 
  Sreenivasa Rao, S. Ram Prasad Reddy, K. Venkata Ramana, V. Valli Kumari, K. V. S. V. N. Raju: Privacy Preserving Sharing of Data. 131-137
• 
  Paulo J. L. Adeodato, Tarcísio B. Gurgel, Sandra Mattos: A Decision Support System Based on Data Mining for Pediatric Cardiology Diagnosis. 138-143
• 
  Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal: Name Entity Recognition and Classification in Medical Text Documents. 144-150
• 
  Fan Wu, Ya-Han Hu, Che-Wei Yang: Distributed Frequent Pattern Mining Using Time-Slice Method. 151-157
• 
  Fan Wu, Ya-Han Hu, Tz-Ke Wu: A Novel and Efficient Distributed Data Mining Algorithm Based on Frequent Pattern-Tree. 158-164
• 
  Kathryn Burn-Thornton, Tim Burman: Factors Which Influence the Recovery of Alcohol Addicts: A Second Follow Up Study. 165-170
• 
  Syed Shams-ul-Haq, Muhammad Nadeem: Supervised DAG Based Data Mining Model for DNA Sequence Analysis and Pattern Discovery. 171-177
• 
  Chandrani Singh, Arpita Gopal: Performance Monitoring and Evaluation of Software Developers in an Information Technology Company using Data Mining Techniques. 178-184
• 
  Samuel Moore, Daniel D'Addario, James Kurinskas, Gary M. Weiss: Are Decision Trees Always Greener on the Open (Source) Side of the Fence? 185-188
• 
  Angi Roesch, Harald Schmidbauer: Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes. 189-192
• 
  Gonçalo Marques, Thibault Langlois: A Language Modeling Approach for the Classification of Music Pieces. 193-198

Data Mining for Time Series Data - Forecasting, Classification and Clustering

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  Xiong Deng, Yike Guo, Moustafa Ghanem: Dynamic Data Mining: A Novel Data Mining Process Model. 199-206
• 
  Mahmoud Abou-Nasr: ATM's Daily Cash Money Demand Forecasting with Recurrent Neural Networks. 207-213
• 
  Dung N. Lam, Cheryl E. Martin: Incorporating Conditional Probability Functions in Time-Dependent Bayesian Networks. 214-220
• 
  Li Wan, Jianxin Liao, Xiaomin Zhu: Mining Sequential Episodes from Segmentation of Multivariate Time Series. 221-227
• 
  Guojun Mao, Xialing Yang: An Algorithm For Efficiently Clustering High-dimensional Data Streams. 228-231
• 
  Sven F. Crone, Nikolaos Kourentzes: Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. 232-238
• 
  Yong Shi: A Fuzzy Index Structure for Multi-Dimensional Data. 239-242
• 
  Weisong He, Guangmin Hu: Network-wide Analysis Using Spatio-temporal Association Rules Mining. 243-246
• 
  Jaakko Talonen, Miki Sirola: Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant. 247-252

Data Pre-Processing

• 
  Sabra Dinerstein, Christophe G. Giraud-Carrier, Jared Dinerstein, Parris K. Egbert: Fused Multi-modal Deduplication. 253-259
• 
  Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma: A Combinatorial Fusion Method for Feature Construction. 260-266
• 
  Tianya Hou, Hyunjung Shin: Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning. 267-273
• 
  Noha Adly: Efficient Record Linkage using a Double Embedding Scheme. 274-281
• 
  Gideon Dror: Feature Extraction for Graph Datasets. 282-290

Predictive Modelling

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  Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi: K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. 291-297
• 
  Olutayo Oladunni: Rule-Based Linear Regression Machine. 298-304
• 
  David Barbella, Sami Benzaid, Janara M. Christensen, Bret Jackson, X. Victor Qin, David R. Musicant: Understanding Support Vector Machine Classifications via a Recommender System-Like Approach. 305-311
• 
  Daniel Burfoot, Yasuo Kuniyoshi: View of Boosting as a Search for Randomness Deficiencies. 312-318
• 
  Chun-Hung Tzeng: A Probabilistic Model of Pattern Recognition on Abstract Data. 319-325
• 
  Pasquale Malacaria, Fabrizio Smeraldi: On Adaboost and Optimal Betting Strategies. 326-332
• 
  Faisal Zaman, Hideo Hirose: An Experimental Study on a New Ensemble Method using Robust and Order Statistics. 333-339
• 
  Dustin Baumgartner, Gürsel Serpen: Large Experiment and Evaluation Tool for WEKA Classifiers. 340-346
• 
  Jacques-H. Bellec, M. Tahar Kechadi: Formal Model For Fault Recognition In Modern Telecommunication Networks. 347-353
• 
  Cecilia Sönströd, Ulf Johansson, Tuve Löfström: Evaluating Algorithms for Concept Description. 354-360
• 
  Kristina Davoian, Wolfram-Manfred Lippe: Greedy Learning: Using Advantages of Distribution Functions to Improve Generalization of ANNs. 361-367
• 
  Iryna Skrypnyk: Generation of Weak Models in Stochastic Discrimination. 368-374
• 
  Syed Zakir Ali, P. Nagabhushan, R. Pradeep Kumar: Regression based Incremental Learning through Cluster Analysis of Temporal data. 375-381
• 
  Jarka Arefin, Rashedur M. Rahman: Study of Dhaka Stock Exchange-Efficient Market Hypothesis. 382-388
• 
  G. Jaya Suma, M. Shashi: Identifying Subscribers with Multi-Split Fuzzy Decision Trees. 389-395
• 
  Asem Omari, Issa Hweidi: On The Usage of Data Mining as a Descriptive and Predictive Tool for Cancer Management in Jordan: A Scenario. 396-402

Privacy Preserving Data Mining

• 
  Roy Ford, Traian Marius Truta, Alina Campan: P-Sensitive K-Anonymity for Social Networks. 403-409
• 
  Jimmy Secretan, Anna Koufakou, Michael Georgiopoulos: APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. 410-416
• 
  Mohammad Ali Kadampur, Durvasula V. L. N. Somayajulu: High Speed Data Perturbation Methods for Privacy Preserving Data Mining. 417-426

Text and Web Mining

• 
  Fan Wang, Yuan Hong, Wenbin Zhang, Gagan Agrawal: Personality Based Latent Friendship Mining. 427-433
• 
  Muhammed Miah: Improved k-NN Algorithm for Text Classification. 434-440
• 
  Taoufik Guernine, Kacem Zeroual: SVM Fuzzy Hierarchical Document Categorization and Retrieval Method. 441-447
• 
  Saifullah Azim, Sohail Asghar: Evaluation of Structured and Un-Structured Document Classification Techniques. 448-457
• 
  Mehrdad Jalali, Norwati Mustapha, Md Nasir Sulaiman, Ali Mamat: Towards Online Personalized Foreseeing System by New Approach through Web Usage Mining. 458-467
• 
  Ingyu Lee, Byung-Won On, Seong No Yoon: Algebraic Algorithms to Solve Name Disambiguation Problem. 468-474
• 
  Gaurav Ruhela: Improving Cohesiveness of Text Document Clusters. 475-480
• 
  Göksel Biricik, Banu Diri: Impact of a New Attribute Extraction Algorithm on Web Page Classification. 481-485
• 
  Houssain Kettani, Gregory B. Newby: On the Ranking of Text Documents from Large Corpuses. 486-490
• 
  Ester Boldrini, Alexandra Balahur, Patricio Martínez-Barco, Andrés Montoyo: EmotiBlog: an Annotation Scheme for Emotion Detection and Analysis in Non-traditional Textual Genres. 491-497
• 
  Anjum Gupta: Learning a Hyperplane using Genetic Algorithm for Sentiment Classification in Text. 498-504

Unsupervised Data Mining

• 
  Anna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos: Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. 505-511
• 
  Sebastian Klenk, Gunther Heidemann: A Sparse Coding Based Similarity Measure. 512-516
• 
  Ahmed M. Fahim, Gunter Saake, Abdel-Badeeh M. Salem, Fawzy A. Torkey, Mohamed A. Ramadan: An Enhanced Density Based Spatial clustering of Applications with Noise. 517-523
• 
  Abdul Aleem, Reena Srivastava, Anil Kumar Singh, M. M. Gore: GCLOD : A Clustering Algorithm for Improved Intra-cluster Similarity and Efficient Local Outliers Detection. 524-530
• 
  Chuan Zhao, Krishnamoorthy Sivakumar: A Graph-based Similarity Metric and Validity Indices for Clustering Non-numeric and Unstructured Data. 531-537
• 
  R. Nedunchelian, R. Muthucumarasamy, E. Saranathan: Comparison of Standard and Optimized K-means in SQL. 538-542
• 
  Arko Banerjee, Arun K. Pujari: Opportunistic Consensus Clustering. 543-549
• 
  Anjum Gupta: Learning a Similarity Measure to Objectively Evaluate Image Segmentation Quality. 550-554
• 
  Aikaterini Krotopoulou: Improving the Results of Partial Match. 555-560

Data Mining in the Social and Behavioral Sciences

• 
  Celia Watt, Jill Lassiter, Douglas Scheidt: The Use of Logistic Regression Analyses and Data Classification Mining to Examine Variables Predictive of Long-term Healthcare Staff Giving Cessation Advice. 561-565
• 
  Gregg R. Murray, Lance Y. Hunter, Anthony Scime: Testing Terrorism Using Iterative Expert Data Mining. 565-572

Late Papers

• 
  Stephen Hole, Duncan McPhee, Alex Lohfink: Mining Spreadsheet Complexity Data to Classify End User Developers. 573-579
• 
  Emad A. El-Sebakhy, Tarek Sheltami, Asparouhov Asparouhov, Krassimir Latinski, Zeehasham Rasheed: Extreme Lerning Machine Classifier Capablities in Solving Multicategory Disease Classification Problems. 580-585
• 
  Inès Hilali-Jaghdam, Jalel Akaichi: Parallel Synchronization of View Definitions Based On Clustering Techniques. 586-590
• 
  Jongwoo Choi, Daesub Yoon, Kyoungho Kim, Hyunsuk Kim: The Analysis of the Relationships Between the Real Vehicle Informaion and the Fuel Consumption. 591-594
• 
  María Beatriz Bernábe Loranca, José E. Espinosa Rosales, María Auxilio Osorio Lama, Javier Ramírez Rodríguez, Ricardo García Aceves: A Comparative Study of Simulated Annealing and Variable Neighborhood Search for the Geographic Clustering Problem. 595-599

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