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https://www.researchgate.net/publication/220072411_IMine_Index_Support_for_Item_Set_Mining
IMine: Index Support for Item Set Mining Elena Baralis, Tania Cerquitelli, and Silvia Chiusano Abstract —This paper presents the IMine index, a general and compact structure which provides tight...
https://ieeexplore.ieee.org/document/4609383/
Aug 29, 2008 · Experiments, run for both sparse and dense data distributions, show the efficiency of the proposed index and its linear scalability also for large datasets. Item set mining supported by the IMine index shows performance always comparable with, and sometimes better than, state of the art algorithms accessing data on flat file.Cited by: 30
http://core.ac.uk/display/11403300
The IMine index structure can be efficiently exploited by different item set extraction algorithms. In particular, IMine data access methods currently support the FP-growth and LCM v.2 algorithms, but they can straightforwardly support the enforcement of various constraint categories.
http://www.ijcttjournal.org/Volume1/Issue-3/IJCTT-V1I3P121.pdf
support data mining queries. The IMine index (Item set-Mine index) is a novel data structure that provides a compact and complete representation of transactional data supporting efficient item set extraction from a relational DBMS. It is characterized by the following properties: The IMine index …
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.477.1812
The Imine index method supports different item set extraction algorithms. Different rule mining algorithms are supported by Imine index scheme. At present the Imine index scheme is developed under PostgreSQL DBMS. The item set extraction and indexing operations …
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004609383
Experiments, run for both sparse and dense data distributions, show the efficiency of the proposed index and its linear scalability also for large datasets. Item set mining supported by the IMine index shows performance always comparable with, and sometimes better than, state of …Cited by: 30
https://core.ac.uk/display/28520527
IMine: Index Support for Item Set Mining . By T.SUNITHA. Abstract. This paper presents the IMine index, a general and compact structure which provides tight integration of item set extraction in a relational DBMS. Since no constraint is enforced during the index creation phase, IMine provides a complete representation of the original database. ...Author: T.SUNITHA
https://link.springer.com/article/10.1007/s11432-012-4638-z
Jul 19, 2012 · Mining frequent itemsets has emerged as a fundamental problem in data mining and plays an essential role in many important data mining tasks. In this paper, we propose a novel vertical data representation called N-list, which originates from an FP-tree-like coding prefix tree called PPC-tree that stores crucial information about frequent itemsets.Cited by: 113
https://www.researchgate.net/publication/225698968_Indexing_Evolving_Databases_for_Itemset_Mining
propose an index structure, called Itemset-Forest (I-F orest), for mining data modeled as sequences of incoming data blocks. The index supports user in- teraction, where the user specifies different...
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