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12. RSFDGrC 2009: Delhi, India
- Hiroshi Sakai, Mihir K. Chakraborty, Aboul Ella Hassanien, Dominik Slezak, William Zhu:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings. Lecture Notes in Computer Science 5908, Springer 2009, ISBN 978-3-642-10645-3
Plenary Papers and Reports
- Ivo Düntsch, Günther Gediga, Adam Lenarcic:
Affordance Relations. 1-11 - Zbigniew Suraj:
Discovering Concurrent Process Models in Data: A Rough Set Approach. 12-19 - Zhongzhi Shi:
Intelligent Science. 20-32 - Sergei O. Kuznetsov:
Pattern Structures for Analyzing Complex Data. 33-44 - Qiang Shen:
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis. 45-58 - Yukio Ohsawa:
Innovation Game as a Tool of Chance Discovery. 59-66 - Manish R. Joshi, Rabi Nanda Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Slezak:
Rough Set Year in India 2009. 67-68
Foundations of Rough Sets and Beyond
- Md. Aquil Khan, Mohua Banerjee:
An Algebraic Semantics for the Logic of Multiple-Source Approximation Systems. 69-76 - A. Mani:
Towards an Algebraic Approach for Cover Based Rough Semantics and Combinations of Approximation Spaces. 77-84 - E. K. R. Nagarajan, D. Umadevi:
New Approach in Defining Rough Approximations. 85-92 - Wei-Zhi Wu:
Rough Set Approximations Based on Granular Labels. 93-100 - Yasuo Kudo, Tetsuya Murai:
On a Criterion of Similarity between Partitions Based on Rough Set Theory. 101-108 - Ryszard Janicki:
On Rough Sets with Structures and Properties. 109-116 - Bernhard Ganter, Christian Meschke:
A Formal Concept Analysis Approach to Rough Data Tables. 117-126 - Pulak Samanta, Mihir K. Chakraborty:
Covering Based Approaches to Rough Sets and Implication Lattices. 127-134 - Kazumi Nakamatsu, Jair Minoro Abe, Seiki Akama:
A Logical Reasoning System of Before-after Relation Based on Bf-EVALPSN. 135-143 - Soma Dutta, Mihir K. Chakraborty:
Some Proof Theoretic Results Depending on Context from the Perspective of Graded Consequence. 144-151
Rough Set Algorithms and Applications
- P. S. V. S. Sai Prasad, C. Raghavendra Rao:
IQuickReduct: An Improvement to Quick Reduct Algorithm. 152-159 - Salsabil Trabelsi, Zied Elouedi, Pawan Lingras:
Dynamic Reduct from Partially Uncertain Data Using Rough Sets. 160-167 - Marcin S. Szczuka:
Approximation of Loss and Risk in Selected Granular Systems. 168-175 - Na Jiao, Duoqian Miao:
An Efficient Gene Selection Algorithm Based on Tolerance Rough Set Theory. 176-183 - Santosh Kumar Ray, Shailendra Singh:
Rough Set Based Social Networking Framework to Retrieve User-Centric Information. 184-191 - Punam Bedi, Suruchi Chawla:
Use of Fuzzy Rough Set Attribute Reduction in High Scent Web Page Recommendations. 192-200 - Daryl H. Hepting, Timothy Maciag, Richard Spring, Katherine Arbuthnott, Dominik Slezak:
A Rough Sets Approach for Personalized Support of Face Recognition. 201-208 - Changjing Shang, Dave Barnes, Qiang Shen:
Taking Fuzzy-Rough Application to Mars. 209-216 - Gerald Schaefer, Huiyu Zhou, Qinghua Hu, Aboul Ella Hassanien:
Rough Image Colour Quantisation. 217-222 - Mohamed Elhadi, Amjad Al-Tobi:
Part of Speech (POS) Tag Sets Reduction and Analysis Using Rough Set Techniques. 223-230
Fuzzy Set Foundations and Applications
- Pabitra Kumar Maji:
More on Intuitionistic Fuzzy Soft Sets. 231-240 - Parimala Mani, R. Devi:
On Fuzzy Contra alpha-Irresolute Maps. 241-246 - A. Selvakumar, R. Devi:
On Fuzzy Strongly alpha-I-Open Sets. 247-252 - Guilong Liu:
Lattice Structures of Rough Fuzzy Sets. 253-260 - B. Praba, Sujatha Ramalingam, V. Hilda Christy Gnanam:
Analysis of Ergodicity of a Fuzzy Possibilistic Markov Model. 261-268 - Junzo Watada, Lee-Chuan Lin, Minji Qiang, Pei-Chun Lin:
A Fuzzy Random Variable Approach to Restructuring of Rough Sets through Statistical Test. 269-277 - Amit Kumar, Neha Bhatia, Manjot Kaur:
A New Approach for Solving Fuzzy Maximal Flow Problems. 278-286 - Sanchita Paul, Abhimanyu K. Singh, Gadadhar Sahoo:
Peptic Ulcer Detection Using DNA Nanorobot Based on Fuzzy Logic Rules. 287-294 - Vishram B. Sawant, Suhas S. Mohite:
Investigations on Benefits Generated By Using Fuzzy Numbers in A TOPSIS Model Developed For Automated Guided Vehicle Selection Problem. 295-302 - Kavita, Shiv Prasad Yadav, Surendra Kumar:
A Multi-criteria Interval-Valued Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method. 303-312
Data Mining and Knowledge Discovery
- Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak:
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. 313-320 - Peter H. F. Ng, Simon C. K. Shiu, Haibo Wang:
Learning Player Behaviors in Real Time Strategy Games from Real Data. 321-327 - Veena H. Bhat, Prasanth G. Rao, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik:
An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques. 328-335 - Hui-Ming Wee, Jie Lu, Guangquan Zhang, Huai-En Chiao, Ya Gao:
A Decision Making Model for Vendor-Buyer Inventory Systems. 336-343 - Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
Software Reliability Prediction Using Group Method of Data Handling. 344-351 - Upasna Singh, Kevindra Pal Singh, Gora Chand Nandi:
Mining Temporal Patterns for Humanoid Robot Using Pattern Growth Method. 352-360 - Shoji Hirano, Shusaku Tsumoto:
Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step. 361-368 - Arindam Chaudhuri, Kajal De:
Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model. 369-381 - Ying Zhang, Xizhao Wang, Junhai Zhai:
A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions. 382-389 - M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards. 390-397
Clustering and Current Trends in Computing
- Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao:
Interval Set Cluster Analysis: A Re-formulation. 398-405 - Dariusz Malyszko, Jaroslaw Stepaniuk:
Rough Entropy Based k-Means Clustering. 406-413 - Bidyut Kr. Patra, Sukumar Nandi:
Fast Single-Link Clustering Method Based on Tolerance Rough Set Model. 414-422 - Hong Yu, Hu Luo:
A Novel Possibilistic Fuzzy Leader Clustering Algorithm. 423-430 - Naveen Kumar, Charu Puri:
Projected Gustafson Kessel Clustering. 431-438 - K. Thangavel, P. Alagambigai, D. Devakumari:
Improved Visual Clustering through Unsupervised Dimensionality Reduction. 439-446 - Shan Su, Xizhao Wang, Junhai Zhai:
An Improved Cluster Oriented Fuzzy Decision Trees. 447-454 - S. Thamaraiselvi, R. Srivathsan, J. Imayavendhan, Raghavan Muthuregunathan, S. Siddharth:
Combining Naive-Bayesian Classifier and Genetic Clustering for Effective Anomaly Based Intrusion Detection. 455-462 - Gerald Schaefer:
Ant Colony Optimisation Classification for Gene Expression Data Analysis. 463-469 - G. Jeyakumar, C. Shunmuga Velayutham:
A Comparative Performance Analysis of Multiple Trial Vectors Differential Evolution and Classical Differential Evolution Variants. 470-477
Information Retrieval and Text Mining
- Liping Jing, Raymond Y. K. Lau:
Granular Computing for Text Mining: New Research Challenges and Opportunities. 478-485 - Ashish Sureka, Vikram Goyal, Denzil Correa, Anirban Mondal:
Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base. 486-493 - Arijit De, Elizabeth D. Diaz:
A Weighted Hybrid Fuzzy Result Merging Model for Metasearch. 494-501 - Hidenao Abe, Shusaku Tsumoto:
Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method. 502-509 - Fan Min, Xindong Wu:
A Comparative Study of Pattern Matching Algorithms on Sequences. 510-517 - Xiao-Li Hong, Xindong Wu, Xuegang Hu, Ying-Ling Liu, Jun Gao, Gong-Qing Wu:
BPBM: An Algorithm for String Matching with Wildcards and Length Constraints. 518-525
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