%0 Journal Article %1 AChandak_2015 %A A.Chandak, Miss. Megha %A Gadicha, Prof. Ajay B. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Big Value Variability Variety Velocity Volume autonomous complex data evolving heterogeneous %N 3 %P 1286--1289 %R 10.17762/ijritcc2321-8169.150385 %T Adaptive Approach of Data Mining Using HACE Algorithm %U http://dx.doi.org/10.17762/ijritcc2321-8169.150385 %V 3 %X Data mining is an interdisciplinary subfield of computer science, is the computational process of discover patterns in large data sets involving methods at the intersection of artificial intelligence , machine learning, statistic, and database systems. Big Data is a new term used to identify the datasets that due to their large size and complication. Data comes from everywhere, sensors used to gather climate information, post to social media sites, digital pictures and videos etc. this data is known as big data. Big Data concern large-volume, difficult, growing data sets with many, independent sources. With the fast development of networking, data storage, and the data group ability, Big Data is now fast expanding in all science and work domains, including physical, biological and bio-medical science. This paper gives brief idea about a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining point of view

@article{AChandak_2015, abstract = {Data mining is an interdisciplinary subfield of computer science, is the computational process of discover patterns in large data sets involving methods at the intersection of artificial intelligence , machine learning, statistic, and database systems. Big Data is a new term used to identify the datasets that due to their large size and complication. Data comes from everywhere, sensors used to gather climate information, post to social media sites, digital pictures and videos etc. this data is known as big data. Big Data concern large-volume, difficult, growing data sets with many, independent sources. With the fast development of networking, data storage, and the data group ability, Big Data is now fast expanding in all science and work domains, including physical, biological and bio-medical science. This paper gives brief idea about a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining point of view}, added-at = {2015-08-11T07:38:38.000+0200}, author = {A.Chandak, Miss. Megha and Gadicha, Prof. Ajay B.}, biburl = {https://www.bibsonomy.org/bibtex/2b075ccf730817a7409a4b7fc3dc08f6a/ijritcc}, doi = {10.17762/ijritcc2321-8169.150385}, interhash = {7b900ab3f476b1a670469d53a4283793}, intrahash = {b075ccf730817a7409a4b7fc3dc08f6a}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Big Value Variability Variety Velocity Volume autonomous complex data evolving heterogeneous}, month = {march}, number = 3, pages = {1286--1289}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-11T07:38:38.000+0200}, title = {Adaptive Approach of Data Mining Using {HACE} Algorithm}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150385}, volume = 3, year = 2015 }