{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T19:45:52Z","timestamp":1743018352182,"version":"3.40.3"},"publisher-location":"London","reference-count":18,"publisher":"Springer London","isbn-type":[{"type":"print","value":"9781848829824"},{"type":"electronic","value":"9781848829831"}],"license":[{"start":{"date-parts":[[2009,10,19]],"date-time":"2009-10-19T00:00:00Z","timestamp":1255910400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2009,10,19]],"date-time":"2009-10-19T00:00:00Z","timestamp":1255910400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-1-84882-983-1_11","type":"book-chapter","created":{"date-parts":[[2009,10,27]],"date-time":"2009-10-27T16:58:27Z","timestamp":1256662707000},"page":"151-164","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Parallel Rule Induction with Information Theoretic Pre-Pruning"],"prefix":"10.1007","author":[{"given":"Frederic","family":"Stahl","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Bramer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mo","family":"Adda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2009,10,19]]},"reference":[{"key":"11_CR1","unstructured":"Hunt E. B., Marin J., and Stone P. J., Experiments in Induction. 1966: Academic Press."},{"key":"11_CR2","first-page":"81","volume":"1","author":"J. R. Quinlan","year":"1986","unstructured":"Quinlan J. R., Induction of decision trees. Machine Learning.Vol. 1. 1986. 81-106.","journal-title":"Induction of decision trees. Machine Learning."},{"key":"11_CR3","first-page":"125","volume-title":"On the quasi-minimal solution of the general covering problem","author":"R.S. Michalski","year":"1969","unstructured":"Michalski R.S., Onthe quasi-minimal solution of the general covering problem, in Proceedings of the Fifth International Symposium on Information Processing.1969: Bled, Yugoslavia. p. 125-128."},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/S0020-7373(87)80003-2","volume":"27","author":"J. Cendrowska","year":"1987","unstructured":"Cendrowska J., PRISM: an Algorithm for Inducing Modular Rules.International Journal of Man-Machine Studies, 1987. 27: p. 349-370.","journal-title":"International Journal of Man-Machine Studies"},{"key":"11_CR5","volume-title":"Megainduction: Machine learning on very large databases.","author":"J. Catlett","year":"1991","unstructured":"Catlett J., Megainduction: Machine learning on very large databases.1991, University of Technology, Sydney."},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Metha M., Agrawal R., and Rissanen J., SLIQ: A Fast Scalable Classifier for Data Mining. International Conference on Extending Database Technology EDBT'96), 1996.","DOI":"10.1007\/BFb0014141"},{"key":"11_CR7","unstructured":"Shafer J. C., Agrawal R., and Mehta M., SPRINT: A Scalable Parallel Classifier for Data Mining. Twenty-second International Conference on Very Large Data Bases, 1996."},{"issue":"3","key":"11_CR8","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1023\/A:1009832825273","volume":"3","author":"A. Srivastava","year":"1999","unstructured":"Srivastava, A., et al., Parallel Formulations of Decision-Tree Classification Algorithms. Data Mining and Knowledge Discovery, 1999. 3(3): p. 237-263.","journal-title":"Data Mining and Knowledge Discovery"},{"key":"11_CR9","unstructured":"Stahl F., Bramer M., and A. M., PMCRI: A Parallel Modular Classification Rule Induction Framework., in Sixth International Conference on Machine Learning and Data Mining.In Press, Springer: Leipzig."},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Bramer M., An Information-Theoretic Approach to the Pre-pruning of Classification Rules. Proceedings of the IFIP Seventeenth World Computer Congress - TC12 Stream on Intelligent Information Processing. 2002: Kluwer, B.V. 201-212.","DOI":"10.1007\/978-0-387-35602-0_18"},{"issue":"14","key":"11_CR11","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1080\/00207720500382027","volume":"36","author":"M. Bramer","year":"2005","unstructured":"Bramer M., Inducer: a public domain workbench for data mining. International Journal of Systems Science, 2005. 36(14): p. 909-919.","journal-title":"International Journal of Systems Science"},{"issue":"4","key":"11_CR12","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/69.149926","volume":"4","author":"P. Smyth","year":"1991","unstructured":"Smyth, P. and R.M. Goodman, An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. on Knowledge and Data Eng, 1991. 4(4): p. 301-316.","journal-title":"IEEE Trans. on Knowledge and Data Eng"},{"key":"11_CR13","unstructured":"Blake C. L. and Merz C. J, UCI repository of machine learning databases. 1998, University of California, Irvine, Department of Information and Computer Sciences."},{"issue":"7","key":"11_CR14","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1093\/bioinformatics\/btn050","volume":"24","author":"M. Stout","year":"2008","unstructured":"Stout M., et al., Prediction of recursive convex hull class assignments for protein residues. Bioinformatics, 2008. 24(7): p. 916-923.","journal-title":"Bioinformatics"},{"key":"11_CR15","unstructured":"Provost F., Distributed Data Mining: Scaling up and Beyond, in Advances in Distributed and\n                Parallel Knowledge Discovery, P.C. H. Kargupta, Editor. 2000, AAAI Press \/ The MIT Press."},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Nolle L., Wong K. C. P., and Hopgood A., DARBS: A Distributed Blackboard System. Twenty-first SGES International Conference on Knowledge Based Systems, 2001.","DOI":"10.1007\/978-1-4471-0119-2_13"},{"key":"11_CR17","volume-title":"P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction","author":"F. Stahl","year":"2008","unstructured":"Stahl F. and Bramer M., P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction, in IFIP International Conference on Artificial Intelligence. 2008, Springer: Milan."},{"key":"11_CR18","volume-title":"Parallel Induction of Modular Classification Rules","author":"F. Stahl","year":"2008","unstructured":"Stahl F. and Bramer M., Parallel Induction of Modular Classification Rules, in Twentyeighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. 2008, Springer: Cambridge."}],"container-title":["Research and Development in Intelligent Systems XXVI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-84882-983-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T22:04:33Z","timestamp":1675721073000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-84882-983-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,10,19]]},"ISBN":["9781848829824","9781848829831"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-1-84882-983-1_11","relation":{},"subject":[],"published":{"date-parts":[[2009,10,19]]},"assertion":[{"value":"19 October 2009","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}