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Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular ComputingMay 2004
- Authors:
- Sankar K. Pal,
- Pabitra Mitra
Abstract
No abstract available.
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- Solorio-Fernández S, Carrasco-Ochoa J and Martínez-Trinidad J (2022). A survey on feature selection methods for mixed data, Artificial Intelligence Review, 55:4, (2821-2846), Online publication date: 1-Apr-2022.
- Barai B, Chakraborty T, Das N, Basu S and Nasipuri M (2022). Closed-set speaker identification using VQ and GMM based models, International Journal of Speech Technology, 25:1, (173-196), Online publication date: 1-Mar-2022.
- Solorio-Fernández S, Carrasco-Ochoa J and Martínez-Trinidad J (2019). A review of unsupervised feature selection methods, Artificial Intelligence Review, 53:2, (907-948), Online publication date: 1-Feb-2020.
Chen L, Liu Y, Wang J and Zhao Y The Re-Granulation on Topological Structure of Granular Computing Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science, (106-110)- Bozkurt F, Kse C and Sar A (2018). An inverse approach for automatic segmentation of carotid and vertebral arteries in CTA, Expert Systems with Applications: An International Journal, 93:C, (358-375), Online publication date: 1-Mar-2018.
- Solorio-Fernndez S, Martnez-Trinidad J and Carrasco-Ochoa J (2017). A new Unsupervised Spectral Feature Selection Method for mixed data, Pattern Recognition, 72:C, (314-326), Online publication date: 1-Dec-2017.
- Zhu Y and Gao K (2017). Deep data analyzing algorithm based on scale space theory, Cluster Computing, 20:1, (1-11), Online publication date: 1-Mar-2017.
- Solorio-Fernández S, Carrasco-Ochoa J and Martínez-Trinidad J (2016). A new hybrid filter-wrapper feature selection method for clustering based on ranking, Neurocomputing, 214:C, (866-880), Online publication date: 19-Nov-2016.
- Gan J and Tao Y DBSCAN Revisited Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, (519-530)
- de Amorim R An empirical evaluation of different initializations on the number of k-means iterations Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I, (15-26)
- Pal S, Meher S and Dutta S (2012). Class-dependent rough-fuzzy granular space, dispersion index and classification, Pattern Recognition, 45:7, (2690-2707), Online publication date: 1-Jul-2012.
- Łukasik S and Kulczycki P An algorithm for sample and data dimensionality reduction using fast simulated annealing Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I, (152-161)
- Kaneiwa K and Kudo Y (2011). A sequential pattern mining algorithm using rough set theory, International Journal of Approximate Reasoning, 52:6, (881-893), Online publication date: 1-Sep-2011.
- Solorio-Fernández S, Carrasco-Ochoa J and Martínez-Trinidad J Hybrid feature selection method for supervised classification based on Laplacian score ranking Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition, (260-269)
- Bifet A Adaptive Stream Mining Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams, (1-212)
- Kaneiwa K A rough set approach to mining connections from information systems Proceedings of the 2010 ACM Symposium on Applied Computing, (990-996)
- Pal S Computational theory perception (CTP), rough-fuzzy uncertainty analysis and mining in bioinformatics and web intelligence Transactions on Rough Sets XI, (106-129)
- Jain N and Murthy C Feature Selection Using Non Linear Feature Relation Index Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence, (7-12)
- Kulczycki P Statistical kernel estimators for data analysis and exploration tasks Proceedings of the 14th WSEAS International Conference on Applied mathematics, (257-262)
- Lovón G and Zanusso M Rough Evolutionary Fuzzy System Based on Interactive T-Norms Advances in Artificial Intelligence – IBERAMIA 2008, (123-132)
- Shankar B Novel classification and segmentation techniques with application to remotely sensed images Transactions on rough sets VII, (295-380)
- Vijaya P, Narasimha Murty M and Subramanian D (2006). Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification, Pattern Recognition, 39:12, (2344-2355), Online publication date: 1-Dec-2006.
- Bhowmick P, Biswas A and Bhattacharya B Isothetic polygonal approximations of a 2d object on generalized grid Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (407-412)
- Mitra S and Pal S (2005). Fuzzy sets in pattern recognition and machine intelligence, Fuzzy Sets and Systems, 156:3, (381-386), Online publication date: 1-Dec-2005.
- Asharaf S, Shevade S and Murty M (2005). Rapid and brief communication, Pattern Recognition, 38:10, (1779-1783), Online publication date: 1-Oct-2005.
- Yoon H, Yang K and Shahabi C (2005). Feature Subset Selection and Feature Ranking for Multivariate Time Series, IEEE Transactions on Knowledge and Data Engineering, 17:9, (1186-1198), Online publication date: 1-Sep-2005.
- Biswas A, Bhowmick P and Bhattacharya B TIPS Proceedings of the 14th Scandinavian conference on Image Analysis, (930-939)
- Pawlak Z A treatise on rough sets Transactions on Rough Sets IV, (1-17)
- Narayan B and Pal S A Report of Activities at the WIC-India Research Center Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, (793-794)
Index Terms
- Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing
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