LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "itemset" as a keyword



Minimal weighted infrequent itemset mining-based outlier detection approach on uncertain data stream

Sign Up to like & get
recommendations! Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3876-4

Abstract: Outliers are a critical factor that affects the accuracy of data-based predictions and some other data-based processing; thus, outliers must be effectively detected as soon as possible to improve the credibility of the data. In… read more here.

Keywords: detection; minimal weighted; outlier detection; data stream ... See more keywords

A Robust Technique for Closed Frequent and High Utility Itemsets Mining: Closed-FHUIM

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3520619

Abstract: Frequent itemset mining (FIM) and high utility itemset mining (HUIM) are popular data mining techniques used in various real-world applications such as retail-market, bio-medicine, and click-stream analysis. However, these techniques have certain limitations. Support, defined… read more here.

Keywords: utility; closed fhuim; itemset; utility itemsets ... See more keywords

The combination of term relations analysis and weighted frequent itemset model for multidocument summarization

Sign Up to like & get
recommendations! Published in 2020 at "Computational Intelligence"

DOI: 10.1111/coin.12270

Abstract: Nowadays, it is necessary that users have access to information in a concise form without losing any critical information. Document summarization is an automatic process of generating a short form from a document. In itemset‐based… read more here.

Keywords: multidocument summarization; term; frequent itemset; summarization ... See more keywords

Towards Scalable Algorithm for Closed Itemset Mining in High-Dimensional Data

Sign Up to like & get
recommendations! Published in 2017 at "Indonesian Journal of Electrical Engineering and Computer Science"

DOI: 10.11591/ijeecs.v8.i2.pp487-494

Abstract: Mining frequent itemsets from large dataset has a major drawback in which the explosive number of itemsets requires additional mining process which might filter the interesting ones. Therefore, as the solution, the concept of closed… read more here.

Keywords: high dimensional; mining; dimensional data; scalable algorithm ... See more keywords