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12th 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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