Mining Associations Rules Between Attribute Value Clusters-Reference-Cited by-同舟云学术

Mining Associations Rules Between Attribute Value Clusters

Published:2020-08-14 Issue: Volume: Page:909-917
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Naik Shankar B.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-3514-7_67

Reference10 articles.

1. Cheng Y, Xie Y, Chen Z, Agrawal A, Choudhary A, Guo S (2013) Jobminer: a real-time system for mining job-related patterns from social media. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1450–1453

2. Xu H, Yu Z, Yang J, Xiong H, Zhu H (2016) Talent circle detection in job transition networks. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 655–664

3. Naik SB, Pawar JD (2017) Clustering attribute values in transitional data streams. In: 2017 international conference on computing, communication and automation (ICCCA). IEEE, pp 58–62

4. Naik SB, Pawar JD (2017) Mining association rules between values across attributes in data streams. In: 2017 international conference on computational intelligence in data science (ICCIDS). IEEE, pp 1–6

5. www.kaggle.com

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