{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T06:30:54Z","timestamp":1648794654332},"reference-count":5,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2005,6]]},"abstract":"<jats:p> We present Metamorphosis, an algorithm for mining Maximal Frequent Sets (MFS) using novel data transformations. Metamorphosis transforms the dataset to Maximum Collapsible and Compressible (MC<jats:sup>2<\/jats:sup>) format and employs a top down strategy with phased bottom up search for efficiently mining MFS. Using a set of benchmark dense datasets such as chess, connect and pumsb, we demonstrate that our algorithm offers better performance in mining MFS compared to dGenMax (an algorithm that offers better performance compared to other known algorithms) at different support levels. Furthermore, we evaluate our algorithm for mining Top-K maximal frequent sets in dense domains. <\/jats:p>","DOI":"10.1142\/s0218213005002223","type":"journal-article","created":{"date-parts":[[2005,6,1]],"date-time":"2005-06-01T08:56:03Z","timestamp":1117616163000},"page":"491-505","source":"Crossref","is-referenced-by-count":6,"title":["METAMORPHOSIS: MINING MAXIMAL FREQUENT SETS IN DENSE DOMAINS"],"prefix":"10.1142","volume":"14","author":[{"given":"KRISHNAMOORTHY","family":"SRIKUMAR","sequence":"first","affiliation":[{"name":"Infosys Technologies Ltd., Plot No. 44, Electronics City, Hosur Road, Bangalore 560 100, India"}]},{"given":"BHARAT","family":"BHASKER","sequence":"additional","affiliation":[{"name":"Indian Institute of Management, Prabandh Nagar, Off Sitapur Road, Lucknow 226 013, India"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf2","volume-title":"Data Mining: Concepts and Techniques","author":"Han J.","year":"2001"},{"key":"rf6","author":"Bayardo R. J.","journal-title":"ACM SIGMOD conference on management of data"},{"key":"rf7","author":"Zaki M. J.","journal-title":"RPI Technical Report"},{"key":"rf10","author":"Burdick D.","journal-title":"In Intl. Conf. On Data Engineering"},{"key":"rf12","series-title":"Technical report","volume-title":"The Quest Data Mining System","author":"Agrawal R.","year":"1996"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213005002223","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:31:35Z","timestamp":1565130695000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213005002223"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6]]},"references-count":5,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,6]]}},"alternative-id":["10.1142\/S0218213005002223"],"URL":"https:\/\/doi.org\/10.1142\/s0218213005002223","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,6]]}}}