LASH

Author:

Beedkar Kaustubh1,Gemulla Rainer1

Affiliation:

1. University of Mannheim, Mannheim, Germany

Publisher

ACM

Reference31 articles.

1. Google n-Grams. https://books.google.com/ngrams/. Google n-Grams. https://books.google.com/ngrams/.

2. Netspeak. http://www.netspeak.org/. Netspeak. http://www.netspeak.org/.

3. Stanford coreNLP parser. http://nlp.stanford.edu/software/corenlp.shtml. Stanford coreNLP parser. http://nlp.stanford.edu/software/corenlp.shtml.

4. Web data: Amazon reviews. http://snap.stanford.edu/data/web-Amazon.html. Web data: Amazon reviews. http://snap.stanford.edu/data/web-Amazon.html.

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1. Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

2. From basic approaches to novel challenges and applications in Sequential Pattern Mining;Electronic Research Archive;2023

3. Efficient mining of concept-hierarchy aware distinguishing sequential patterns;Knowledge-Based Systems;2022-11

4. An Efficient Algorithm for Extracting High-Utility Hierarchical Sequential Patterns;Wireless Communications and Mobile Computing;2020-07-06

5. A review on big data based parallel and distributed approaches of pattern mining;Journal of King Saud University - Computer and Information Sciences;2019-09

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