{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T04:13:36Z","timestamp":1743826416813,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":38,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642308666"},{"type":"electronic","value":"9783642308673"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-30867-3_27","type":"book-chapter","created":{"date-parts":[[2012,7,17]],"date-time":"2012-07-17T16:00:06Z","timestamp":1342540806000},"page":"295-306","source":"Crossref","is-referenced-by-count":0,"title":["Sequence Compulsive Incremental Updating of Knowledge in Learning Management Systems"],"prefix":"10.1007","author":[{"given":"Syed Zakir","family":"Ali","sequence":"first","affiliation":[]},{"given":"P.","family":"Nagabhushan","sequence":"additional","affiliation":[]},{"given":"R.","family":"Pradeep Kumar","sequence":"additional","affiliation":[]},{"given":"Nisar","family":"Hundewale","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"27_CR1","unstructured":"http:\/\/moodle.org\/ (last accessed December 10, 2011)"},{"key":"27_CR2","unstructured":"http:\/\/www.blackboard.com\/ (last accessed December 10, 2011)"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Romero, C., Ventura, S., Garcia, E.: Data Mining in Course Management Systems: Moodle Case Study and Tutorial. Computers and Education. Article in Press (2007)","DOI":"10.1016\/j.compedu.2007.05.016"},{"key":"27_CR4","unstructured":"Clari, P.M., Arevalillo-Herraez, M., CeveronLleo, V.: Data Analysis as a Tool for Optimizing Learning Management Systems. In: Ninth IEEE International Conference on Advanced Learning Technologies (2009)"},{"key":"27_CR5","unstructured":"Miranda, E.: Data Mining as a technique to analyze the learning styles of students in using the Learning Management System. In: SNATI 2011, June 17-18 (2011)"},{"key":"27_CR6","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.artint.2003.04.001","volume":"154","author":"A.M. Maloof","year":"2004","unstructured":"Maloof, A.M., Michalski, R.S.: Incremental Learning with partial instance memory. Artificial Intelligence\u00a0154, 95\u2013126 (2004)","journal-title":"Artificial Intelligence"},{"key":"27_CR7","unstructured":"Piatestsky, S.U., Smyth, M.A., Uthurusamy, R.: Advances in Knowledge Discovery and Data mining. A text Book by AAAI\/MIT Press (1996)"},{"key":"27_CR8","unstructured":"Han, Kamber: Data Mining \u2013 Concepts and Techniques, 2nd edn. Elsevier (2006)"},{"key":"27_CR9","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.patrec.2007.09.001","volume":"29","author":"A. Adhikari","year":"2008","unstructured":"Adhikari, A., Rao, P.R.: Synthesizing heavy association rules from different real data sources. Pattern Recognition Letters\u00a029, 59\u201371 (2008)","journal-title":"Pattern Recognition Letters"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Masseglia, F., Poncelet, P., Teisseire, M.: Incremental Mining of Sequential Patterns in Large Databases. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2004)","DOI":"10.1016\/S0169-023X(02)00209-4"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Seeman, W.D., Michaski, R.S.: The CLUSTER3 System for goal-oriented conceptual clustering: method and preliminary results. WIT Transactions on Information and Communication Technologies\u00a037 (2006)","DOI":"10.2495\/DATA060091"},{"key":"27_CR12","volume-title":"Invited talk at the Sanken Symposium on Data Mining and Semantic Web","author":"R.S. Michalski","year":"2003","unstructured":"Michalski, R.S.: Knowledge Mining: A Proposed New Direction. In: Invited talk at the Sanken Symposium on Data Mining and Semantic Web, March 10-11. Osaka university, Japan (2003)"},{"key":"27_CR13","volume-title":"Algorithms for Clustering data","author":"R.C. Dubes","year":"1998","unstructured":"Dubes, R.C., Jain, A.K.: Algorithms for Clustering data. Prentice Hall, Englewood Cliffs (1998)"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Jain, A.K., Murthy, M.N., Flynn, P.J.: Data Clustering: A Review. ACM Computing Surveys\u00a031(3) (September 1999)","DOI":"10.1145\/331499.331504"},{"key":"27_CR15","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.patrec.2007.08.012","volume":"29","author":"Y. Li","year":"2008","unstructured":"Li, Y., Dong, M., Hua, J.: Localized feature selection for clustering. Pattern Recognition Letters\u00a029, 10\u201318 (2008)","journal-title":"Pattern Recognition Letters"},{"key":"27_CR16","unstructured":"Eric, C., Akanksha, B., Tig, C., Anhai, D., Jeffrey, N.: A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data. In: Proceedings of the 33rd International Conference on VLDB, pp. 1045\u20131056 (2007)"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Fazli, C., Edward, A.F., Cory, D.S., Robert, K.F.: Incremental Clustering for Very Large Document Databases: Initial MARIAN Experience. An International Journal of Information Sciences\u2014Informatics and Computer Science\u00a084(1-2) (1995)","DOI":"10.1016\/0020-0255(94)00111-N"},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Hammouda, K.M., Kamel, M.S.: Incremental Document Clustering Using Cluster Similarity Histograms. In: IEEE\/WIC International Conference on Web Intelligence, Halifax, Canada, pp. 597\u2013601 (October 2003)","DOI":"10.1109\/WI.2003.1241276"},{"key":"27_CR19","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Wimmer, M., Xu, X.: Incremental Clustering for Mining in a Data Warehousing Environment. In: Proceedings of the 24th VLDB Conference, New York (1998)"},{"key":"27_CR20","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1016\/0167-8655(91)90080-6","volume":"12","author":"M.N. Murthy","year":"1991","unstructured":"Murthy, M.N., Sridhar, V.: A Knowledge-based Clustering algorithm. Pattern Recognition Letters\u00a012, 511\u2013517 (1991)","journal-title":"Pattern Recognition Letters"},{"issue":"12","key":"27_CR21","doi-asserted-by":"publisher","first-page":"2256","DOI":"10.1016\/j.patcog.2005.03.005","volume":"38","author":"C.-Y. Chen","year":"2005","unstructured":"Chen, C.-Y., Hwang, S.-C., Oyang, Y.-J.: A Statistics-Based Approach to Control the Quality of Subclusters in Incremental Gravitational Clustering. Pattern Recognition\u00a038(12), 2256\u20132269 (2005)","journal-title":"Pattern Recognition"},{"key":"27_CR22","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD 1996), pp. 226\u2013231. AAAI Press (1996)"},{"key":"27_CR23","unstructured":"Zakir Ali, S., Nagabhushan, P., Pradeep Kumar, R.: Regression based Incremental Learning through Cluster Analysis of Temporal data. In: The 5th International Conference on Data Mining, DMIN 2009, Las Vegas, Nevada, USA, July 13-16, pp. 375\u2013381 (2009)"},{"issue":"01","key":"27_CR24","doi-asserted-by":"crossref","first-page":"53","DOI":"10.9735\/0975-2927.2.1.53-57","volume":"02","author":"P. Nagabhushan","year":"2010","unstructured":"Nagabhushan, P., Zakir Ali, S., Pradeep Kumar, R.: A New Cluster-Histo-Regression Analysis for Incremental Learning from Temporal Data Chunks. International Journal of Machine Intelligence\u00a002(01), 53\u201373 (2010)","journal-title":"International Journal of Machine Intelligence"},{"issue":"02","key":"27_CR25","first-page":"581","volume":"02","author":"P. Nagabhushan","year":"2010","unstructured":"Nagabhushan, P., Zakir Ali, S., Pradeep Kumar, R.: Intelligent Methods of Fusing the Knowledge During Incremental Learning via Clustering in A Distributed Environment. International Journal of Advanced Networking and Applications\u00a002(02), 581\u2013596 (2010)","journal-title":"International Journal of Advanced Networking and Applications"},{"key":"27_CR26","unstructured":"Nagabhushan, P., Zakir Ali, S., Pradeep Kumar, R.: Incremental Updating of Knowledge Through Histo-Regression Lines using DBSCAN. In: The Bilateral Russian-Indian Scientific Workshop on Emerging Applications of Computer Vision, EACV 2011, Moscow, Russia, November 1-5 (2011)"},{"key":"27_CR27","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/0167-8655(94)00085-H","volume":"16","author":"P. Nagabhushan","year":"1995","unstructured":"Nagabhushan, P., Gowda, K.C., Diday, E.: Dimensionality Reduction of Symbolic Data. Pattern Recognition Letters\u00a016, 219\u2013223 (1995)","journal-title":"Pattern Recognition Letters"},{"key":"27_CR28","doi-asserted-by":"crossref","unstructured":"Diday, E.: An Introduction to Symbolic Data and Analysis and the SODAS software. Journal of Symbolic Data Analysis (July 2002)","DOI":"10.3233\/IDA-2003-7606"},{"key":"27_CR29","unstructured":"Rangarajan, L.: Some New Approaches for Image Pattern Analysis Through Dimensionality Reduction. PhD Thesis of the University of Mysore, India (September 2004)"},{"key":"27_CR30","unstructured":"Sanjay Pande, M.B.: An Algorithmic model for exploratory analysis of trace elements in cognition and recognition of neurological disorders; PhD thesis of the University of Mysore, India (2004)"},{"key":"27_CR31","doi-asserted-by":"crossref","unstructured":"Pradeep Kumar, R., Nagabhushan, P.: An Approach Based on Regression Line Features for Low Complexity Content Based Image Retrieval. In: International Conference on Computing: Theory and Applications (ICCTA 2007), pp. 600\u2013604 (2007)","DOI":"10.1109\/ICCTA.2007.25"},{"key":"27_CR32","unstructured":"Gowda, S.D., Nagabhushan, P.: Equivalence between two document images through iterative histo analysis of the conventional entropy values. International Journal of System, Cybernetics and Informatics, 23\u201333 (October 2008)"},{"key":"27_CR33","doi-asserted-by":"crossref","unstructured":"Pradeep Kumar, R., Nagabhushan, P.: An Approach Based on Regression Line Features for Low Complexity Content Based Image Retrieval. In: International Conference on Computing: Theory and Applications (ICCTA 2007), pp. 600\u2013604 (2007)","DOI":"10.1109\/ICCTA.2007.25"},{"key":"27_CR34","doi-asserted-by":"crossref","unstructured":"Kadampur, M.A., Somayajulu, D.V.L.N., Dhiraj, S.S.S., Satyam, S.G.P.: Privacy Preserving Clustering by Cluster Bulging for Information Sustenance. In: 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008, pp. 240\u2013246 (2008)","DOI":"10.1109\/ICIAFS.2008.4783947"},{"key":"27_CR35","unstructured":"Sayad, S., Balke, S.T., Sayad, S.: Scalable Data Mining. University of Toronto, http:\/\/chem-eng.utoronto.ca\/~datamining\/SDM\/ (last accessed December 10, 2011)"},{"key":"27_CR36","unstructured":"Pradeep Kumar, R.: Wavelets for Knowledge Mining in Multi Dimensional Generic Databases. PhD Thesis of the University of Mysore (2006)"},{"key":"27_CR37","unstructured":"http:\/\/ekluvya.adithyatech.edu.in\/aitlms\/ (last accessed December 10, 2011)"},{"key":"27_CR38","unstructured":"http:\/\/adithyatech.edu.in:8080\/website\/ (last accessed December 10, 2011)"}],"container-title":["Advances in Intelligent Systems and Computing","7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-30867-3_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T13:02:08Z","timestamp":1743771728000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-30867-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642308666","9783642308673"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-30867-3_27","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2013]]}}}