Sequential pattern mining

This article proposes a distributed algorithm to deal with this problem, called the distributed algorithm for sequential pattern mining on a large sequence dataset using dynamic vector bit structures on the MapReduce distributed programming model (DSPDBV).

10p visergey 14-03-2024 2 0   Download

This paper produces an effective algorithm and experimental results for mining closed sequential patterns from the sequence database using the parent–child relationship on the prefix tree structure. Experimental results show that the performance runtime of the proposed algorithm is much faster than that of other algorithms by more than one order of magnitude and the number of sequential patterns is reduced significantly.

7p vimarillynhewson 02-01-2024 5 3   Download

Lecture Data mining: Lesson 1. The main topics covered in this chapter include: data warehouses and OLAP (On Line Analytical Processing); association rules mining; clustering - hierarchical and partition approaches; classification - decision trees and bayesian classifiers; sequential pattern mining;... Please refer to the content of document.

38p tieuvulinhhoa 22-09-2022 12 4   Download

Lecture Data mining: Lesson 17. The main topics covered in this chapter include: classification; sequence data; formal definition of a sequence; sequential pattern mining; sequential pattern mining algorithms; extracting sequential patterns;... Please refer to the content of document.

35p tieuvulinhhoa 22-09-2022 8 3   Download

The objective of the thesis: Mining association rules with time-interval between events in temporal quantitative databases called fuzzy time-interval association rules; mining sequential patterns with time-interval between events in temporal quantitative sequential databases called fuzzy sequential patterns with fuzzy time intervals; mining common sequential rules with time-interval between events in temporal quantitative sequential databases called fuzzy common sequential rules with fuzzy time intervals.

27p beloveinhouse01 15-08-2021 10 4   Download

The objective of the thesis is to propose a solution to mine the weighted sequential patterns between sequences in sequence databases with time interval and quantitative sequence databases with time interval.

25p beloveinhouse01 15-08-2021 13 3   Download

Bài viết đề xuất thuật toán MTKS (Max Top-K Sequential pattern mining) tìm k mẫu tuần tự tối đại dựa trên thuật toán TKS. Với k mẫu nhập vào thuật toán sẽ trả về k mẫu có độ hỗ trợ cao nhất trong cơ sở dữ liệu.

7p vining2711 09-08-2021 15 2   Download

High utility sequential pattern mining is a popular topic in data mining with the main purpose is to extract sequential patterns with high utility in the sequence database. Many recent works have proposed methods to solve this problem. However, most of them does not consider item intervals of sequential patterns which can lead to the extraction of sequential patterns with too long item interval, thus making little sense. In this paper, we propose a High Utility Item Interval Sequential Pattern (HUISP) algorithm to solve this problem.

15p 12120609 23-03-2020 15 1   Download

Frequent sequential pattern mining in item interval extended sequence database (iSDB) has been one of the interesting tasks in recent years. Unlike classic frequent sequential pattern mining, the pattern mining in iSDB also considers the item interval between successive items; thus, it may extract more meaningful sequential patterns in real life.

16p viconandoyle2711 29-08-2019 14 0   Download

The growth of social media sites, such as Twitter, which can provide a visual record of the daily interests and concerns of people in the form of their tweets and tweeting behaviors, has led to an increasing demand among enterprise users, to be able to identify those users who are interested in the services and products that these enterprises offer.

14p vithanos2711 09-08-2019 14 1   Download

This paper applies the characteristics of closed sequential patterns and sequence extensions into the prefix tree structure to mine closed sequential patterns from the sequence database. The paper uses the parent–child relationship on prefix tree structure and each node on prefix tree is also added fields to determine whether that is a closed sequential pattern or not. Experimental results show that the number of sequential patterns is reduced significantly.

9p cumeo3000 01-08-2018 23 0   Download

This paper studies the problem of identifying erroneous/correct sentences. The problem has important applications, e.g., providing feedback for writers of English as a Second Language, controlling the quality of parallel bilingual sentences mined from the Web, and evaluating machine translation results. In this paper, we propose a new approach to detecting erroneous sentences by integrating pattern discovery with supervised learning models. Experimental results show that our techniques are promising. ...

8p hongvang_1 16-04-2013 47 1   Download

Sequential Method ( Preprocessing Methods) Parrarel Method missing value is taking into account in main process knowledge mining.Do Not Impute ( parrarel method) Case Deletion / Row Ignoring. Fill in the missing value / Imputation Method.The rising of new pattern because of wrong imputation method Biasing natural pattern in original data.Given a set of objects, the overall objective of clustering is to divide the data set into groups based on similarity of objects, and to minimize the intra-cluster dissimilarity.

22p giacattan 05-01-2013 71 3   Download

Financial data are conventionally represented in numeric format for data mining purpose. However, recent works have demonstrated promising results of representing financial data symbolically. For an instance, Kovalerchuk et al. (2002) argues that symbolic relational data mining is more suitable in incorporating background knowledge. Their proposed methodology outperforms numeric financial data in generating IF-Then rules. In (Ting et al.

8p quaivattim 04-12-2012 57 3   Download