Feb 28, 2019 · ... in all urban areas. In this study, a novel dynamic approach is proposed for predicting citywide traffic flow based on weather. The proposed ...

A Survey on Partition Based Parallel Data. Mining Algorithms for Clustering. Monika Aal. C.U. Shah University,. Surendranagar, Gujarat. Full Paper. Page 16 ...

This paper provides an insight into machine learning techniques used in diagnosing various diseases. Various data mining classifiers have been discussed which ...

Jan 1, 2019 · Jicheng Li, Xinyue Huang, Target customer selection method based on data mining in a big data environment, IEEE 2017. 3. Dapeng Liu ...

These papers provide a breadth of information about Clustering Algorithms that is generally useful and interesting from a computer science perspective.

IMPACT ON THE SALES OF AUTOMOBILE INDUSTRIES DURING COVID-19. INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (IJSREM), 2022, 2582- ...

In this study, the state-of-the art visual tracking methods are reviewed and different categories are discussed. The overall visual tracking process is divided ...

May 7, 2018 · Mining. Abstract: In data mining ample techniques use distance based measures for data clustering. Improving clustering performance is the ...

Abdelhalim E A and Ei-Khayat G A 2013 A survey on analytical approaches used in RFID based applications 2013 Int. Conf. on Computer Applications Technology ( ...

An, and V. Sivakumar. [13] has conduct feasibility study on data mining techniques in diagnosis of breast cancer. They have reviewed a lot of paper to ...