%0 Journal Article %1 Venkatrao_2015 %A Venkatrao, Poul Geeta %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Change Data Minimum cart data four groups id3 mining support %N 1 %P 1--4 %R 10.17762/ijritcc2321-8169.150101 %T Ascertaining Chronological Change Patterns in the Presence of Multiple Taxonomies %U http://dx.doi.org/10.17762/ijritcc2321-8169.150101 %V 3 %X Data mining and knowledge discovery (KDD) is the technique of converting raw data into useful information. It is predictive technique for interesting data analysis. Change mining is technique of data mining that finds and reports changes in mined item set from one time to another time. Different data mining algorithms are evolved to show correlation among data mined. The data association changes from one time to time. The project highlights the HIGEN (HIGHLY GENERLISED PATTERN) algorithm that reports minimum level of abstraction of frequently generalized pattern. Association between items shown by algorithm for data coming from real time applications at multiple level of taxonomy. The experiment performed on artificial and factual datasets to show competence and effectiveness of proposed approach as well as usefulness of real time application context.

@article{Venkatrao_2015, abstract = {Data mining and knowledge discovery (KDD) is the technique of converting raw data into useful information. It is predictive technique for interesting data analysis. Change mining is technique of data mining that finds and reports changes in mined item set from one time to another time. Different data mining algorithms are evolved to show correlation among data mined. The data association changes from one time to time. The project highlights the HIGEN (HIGHLY GENERLISED PATTERN) algorithm that reports minimum level of abstraction of frequently generalized pattern. Association between items shown by algorithm for data coming from real time applications at multiple level of taxonomy. The experiment performed on artificial and factual datasets to show competence and effectiveness of proposed approach as well as usefulness of real time application context.}, added-at = {2015-07-31T06:24:22.000+0200}, author = {Venkatrao, Poul Geeta}, biburl = {https://www.bibsonomy.org/bibtex/20027775a654423148af50e355a719b26/ijritcc}, doi = {10.17762/ijritcc2321-8169.150101}, interhash = {4de385089f42b148245b21bc6e2d989a}, intrahash = {0027775a654423148af50e355a719b26}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Change Data Minimum cart data four groups id3 mining support}, month = {January}, number = 1, pages = {1--4}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-07-31T06:24:22.000+0200}, title = {Ascertaining Chronological Change Patterns in the Presence of Multiple Taxonomies}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150101}, volume = 3, year = 2015 }