DMIN 2009:
Las Vegas, Nevada, USA
Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.):
Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA.
CSREA Press 2009, ISBN 1-60132-099-X 
A Tour of Advanced Data Mining Methodologies
- Dan Steinberg:
A Tour of Advanced Data Mining Methodologies: The CART Decision Tree.
3-10
Association Rule Mining
Business Intelligence
Real-World Data Mining Applications, Challenges, and Perspectives
- 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
Data Pre-Processing
Predictive Modelling
- 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
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
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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