DMIN 2008:
Las Vegas,
Nevada,
USA
Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.):
Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes.
CSREA Press 2008, ISBN 1-60132-062-0 
Classification and Regression I
- Haifeng Xiao, Chunhua Chen, Wei Su, John A. Kosinski, Yun Q. Shi:
Data Mining of Modulation Types Using Cyclostationarity-Based Decision Tree.
3-9
- Mingjun Song, Sanguthevar Rajasekaran:
A Novel Scheme for the Detection of an Unknown Class in Classification.
10-13
- Reena Srivastava, Manoj Gore:
A Micro-Clustering Based Method for Multi-Class Classification in Multi-Relational Databases.
14-20
- Ting Li, Haiying Shen, Anthony Rosequist:
Token List Based Data Searching in a Multi-Dimensional Massive Database.
21-25
- Shawkat Ali, Ben Pang, Kevin Tackle:
Rule Based Base Classifier Selection for Bagging Algorithm.
26-29
- Jair Cervantes, Xiaoou Li, Wen Yu:
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution.
30-35
- Samira Karimi, Adel Torkaman Rahmani:
Improving the Performance of XCS Classifier System.
36-42
- Fatemeh Emdad, Seyed Alireza Zekavat:
Investigating the Relationship Between Canonical Correlation Analysis (CCA), and Signal Fraction Analysis (SFA) in Signal Separation.
43-48
- Jaakko Talonen, Miki Sirola, Jukka Parviainen:
Leakage Detection by Adaptive Process Modeling.
49-52
Classification and Regression II
- Tracy D. Lemmond, Andrew O. Hatch, Barry Y. Chen, David Knapp, Lawrence Hiller, Marshall Mugge, William G. Hanley:
Discriminant Random Forests.
55-61
- Cristián J. Figueroa, Jaime E. Araya:
A Neural Mining Approach for Predicting Customer Loyalty in Large Retail Databases.
62-70
- Shahram Golzari, Shyamala Doraisamy, Noris Mohd. Norowi, Md Nasir Sulaiman, Nur Izura Udzir:
A Comprehensive Study in Benchmarking Feature Selection and Classification Approaches for Traditional Malay Music Genre Classification.
71-77
- Chunying Zhao, Gongde Guo, Xuming Huang, Tianqiang Huang, Daniel Neagu:
Data Reduction and Classification based on Multiple Classifier Behavior.
78-83
- Giorgio Corani, Marco Zaffalon:
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications.
84-90
- Shahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura Udzir:
Notes on Using Nonlinear Resource Allocation Methods in AIRS Classifier.
91-95
- Jose George, Rajeev Kumaraswamy:
A Hybrid Wavelet Kernel Construction for Support Vector Machine Classification.
96-101
- Grete Lind, Rein Kuusik:
Some Problems in Determinacy Analysis Approaches Development.
102-108
- David Wright:
Ranking of Health Plan Members for Proactive Intervention.
109-113
Classification and Regression III
- Nguyen-Khang Pham, Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich:
Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy.
117-123
- Ulf Johansson, Rikard König, Lars Niklasson:
Evolving a Locally Optimized Instance Based Learner.
124-129
- Claudia Jeanneth Becerra, Fabio Augusto Gonzalez, Sergio Gonzalo Jimenez:
3-Functions Meta-Learner Algorithm: a Mixture of Experts Technique to Improve Regression Models.
130-136
- G. M. Shafiullah, Scott Simson, Adam Thompson, Peter J. Wolfs, Shawkat Ali:
Forecasting Vertical Acceleration Railway Wagons - A comparative study.
137-143
- Bijan Raahemi, Ali Mumtaz:
A Two-Stage Architecture for Classification of Peer-to-Peer Traffic Using Fast Decision Tree.
144-149
- Suraiya Jabin, Afshar Alam:
Learning Classifier Systems Approach for automated generation of Censored Production Rules from large data sets containing Missing and Continuous Attribute values.
150-156
- Iryna Skrypnyk:
Feature Weighting to Improve Class Discrimination in Subspaces.
157-163
- Quoc-Nam Tran:
Using ANOVA to Analyze Modified Gini Index Decision Tree Classification.
164-170
Feature Selection and Transformation,
Sampling and Rebalancing
- Kyriacos Chrysostomou, Sherry Y. Chen, Xiaohui Liu:
The Influences of Number and Nature of Classifiers on Consensus Feature Selection.
173-179
- Fatemeh Emdad, Michael Kirby, Seyed Alireza Zekavat:
Feature Extraction via Kernelized Signal Fraction Analysis vs Kernelized Principal Component Analysis.
180-184
- Anne Venables, Michelle Dickson, Paul Boon:
Use of Neural Networks for Integrated Assessments of Wetlands in the Gippsland region of South-east Australia.
185-190
- Sebastian Klenk, Gunther Heidemann:
A New Method for Principal Component Analysis of High-Dimensional Data Using Compressive Sensing.
191-196
- Christian Sassenberg, Christian Weber, Madjid Fathi, Alexander Holland, Ralf Montino:
Feature Selection for Improving the Usability of Classification Results of High-Dimensional Data.
197-201
- Yong Shi:
Towards Solving Dimension Reduction Problems for Multi-Dimensional Data.
202-208
Forecasting and Time Series Modelling
- Rui Xu, Robert S. Woodley, Donald C. Wunsch II:
Default ARTMAP Neural Networks for Classification of Anthrax Time Series from Inhalation Anthrax Models.
211-216
- Dawei Han:
Neuro-Fuzzy Models in Real-Time Flood Forecasting.
217-222
- Jun Wan, Sifeng Liu, Haijing Xu:
Research on The Intraday Periodities Based on Maximum Overlap Discrete Wavelet Transformations.
223-227
- Hassan Rabie, Mohammed El-Beltagy, Assem Tharwat, Said Hassan:
Exploring Input Selection for Time Series Forecasting.
228-232
- Yulong Xie, Christopher J. Murray, Timonthy P. Hanrahan, David R. Geist:
Data Mining on Large Data Set for Predicting Salmon Spawning Habitat.
233-239
Forecasting and Time Series Modelling II
Frequent Itemsets and Association Rule Mining
- Kaoru Shimada, Kotaro Hirasawa:
Exceptional Association Rule Mining Using Genetic Network Programming.
277-283
- Su-Jeong Ko:
Recommender Agent Using an Associative Item Tree.
284-290
- Junbo Chen, Bo Zhou, Yiqun Ding, Lu Chen:
Finding Cloesed Frequent Itemsets in Linear Time.
291-297
- Rajendra Sahu, Rajul Anand, Ravi Agrawal, Abhishek Vaid, Santosh Kanojia:
Multi-Dimensional Association Rules from Large Weather Data Set : A Proposed Methodology.
298-303
- Kelly Kingchi Yip, David A. Nembhard:
Combined AND/OR Association Rule.
304-308
- Mohammad-Hossein Nadimi-Shahraki, Norwati Mustapha, Md Nasir Sulaiman, Ali B. Mamat:
A New Algorithm for Discovery Maximal Frequent Itemsets.
309-312
- Gavin Shaw, Yue Xu, Shlomo Geva:
Eliminating Redundant Association Rules in Multi-Level Datasets.
313-319
Fuzzy Logic and Rough Sets
- Ming He, Wei Li:
Uncertain Measure of Knowledge Based on Generalized Rough Sets in Incomplete Infomration Systems.
323-327
- Bingru Yang, Zhen Peng:
A New Construction of Classification Based on Asymmetrical Fuzzy Cognitive Map.
328-332
Knowledge Discovery Applications,
Data Warehousing and OLAP
Multimedia Mining,
Mining Text,
Semi-Structured Data and Data Streams
- Jongwoo Kim, Daniel X. Le, George R. Thoma:
Naive Bayes Classifier for Extracting Bibliographic Information from Biomedical Online Articles.
373-378
- Ya-Hung Tseng, Jia-Lien Hsu, Yen-Fu Li:
Music Visualization with DISC and Structural Feature Diagram.
379-384
- Bahareh Bina, Mohamad Hasan Ahmadi, Maseud Rahgozar:
Farsi Text Classification Using N-Grams and Knn Algorithm A Comparative Study.
385-390
- Alok Kumar Choudhary, Jenny A. Harding, Patricia Carrillo, Paul Oluikpe, Nadeem Rahman:
Text Mining Post Project Reviews to Improve the Construction Project Supply Chain Design.
391-397
- DongJun Zong, Guojun Mao, Xindong Wu:
An Intrusion Detection Model Based on Mining Data Streams.
398-403
Outlier Detection and Novelty Detection
Parallel Algorithms,
Grid Computing,
Metaheuristics
Privacy Preserving Data Mining
- Olvi L. Mangasarian, Edward W. Wild:
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels.
473-479
- Ronggong Song, Larry Korba, George Yee:
An Efficient Privacy-Preserving Data Mining Platform.
480-486
- Aaron Lai, Thomas Ho, Raymond Wan:
A Brief Guide to Legal Issues for Data-miners.
487-493
- Pradeep Kumar, Radha Krishna Pisipati:
A Fuzzy Based Privacy Preserving k-NN Classification.
494-499
- Pradeep Kumar, Meena Dilip Singh, Ashutosh Saxena:
HEMIN: A Cryptographic Approach for Private k-NN Classification.
500-505
- V. Valli Kumari, S. Ram Prasad Reddy, M. Aruna Sowjanya, B. Jhansi Vazram, K. V. S. V. N. Raju:
A Novel Approach for Privacy Preserving Publication of Data.
506-512
- Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail:
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base.
513-519
- Ravi Chandra Enaganti, Durvasula V. L. N. Somayajulu:
An Improved Distortion Technique for Privacy Preserving Frequent Itemset Mining.
520-526
Segmentation and Clustering
Segmentation and Clustering II
- Tao Li, Sarabjot S. Anand:
Automated Taxonomy Generation for Summarizing Multi-Type Relational Datasets.
571-577
- Hirotaka Inoue, Hiroyuki Narihisa:
Efficient Incremental Learning with Self-Organizing Neural Grove.
578-582
- Harsha Aeron, Ramasubramanian Sundararajan, Tarun Bhasker, Ashwani Kumar, Moorthy Janakiraman:
Genetic Algorithm Technique for Profitability Based Segmentation.
583-589
- Bingbing Yang, Xinyu Chen, Shengyong Xu, Ping Guo:
Software Metrics Analysis with Genetic Algorithm and Affinity Propagation Clustering.
590-596
- Wei Li, Cindy Chen, Jie Wang:
PCS: An Efficient Clustering Method for High-Dimensional Data.
597-603
- Hosein Marzi, Craig MacNeil, Elham Marzi:
Assessing the Effectivenes of Data Mining Techniques.
604-610
Web and Social Networks Mining I
Web and Social Networks Mining II
- Maojin Jiang, Shlomo Argamon:
Political Leaning Categorization by Exploring Subjectivities in Political Blogs.
647-653
- Bingfeng Pi, Shunkai Fu, Gang Zou, Jia Guo, Song Han:
Query-biased Near Duplicate Web Document Detecting: Effective, Efficient and Customizable.
654-659
- Yen-Ssu Chou, Tzung-Shi Chen:
Mining User Movement Behavior Patterns in a Mobile Service Environment.
660-666
- Junlan Feng, Valerie Torres, Daniel Sheleheda, Cynthia Cama:
WebTrack: Mining and Tracking Content and Structure of Websites.
667-673
- Xiaoran Wang, Coskun Bayrak:
Categorization of Users Using Unlabeled Query Logs.
674-679
Late Papers
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