A novel approach for unsupervised learning of transaction data-Reference-Cited by-同舟云学术

A novel approach for unsupervised learning of transaction data

Published:2019-06-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Engineering and MIS
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Author:

Phridviraj M. S. B.¹,Rao C. V. Guru²

Affiliation:

1. KITS, Warangal, INDIA

2. SREC, Warangal, INDIA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3330431.3330464

Reference70 articles.

1. An Approach for Clustering Text Data Streams Using K-means and Ternary Feature Vector Based Similarity Measure

2. Mining Top-K Rank Frequent Patterns in Data Streams A Tree Based Approach with Ternary Function and Ternary Feature Vector

3. A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector

4. Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries

5. Data Mining – Past, Present and Future – A Typical Survey on Data Streams

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