A Workflow Mining Method Through Model Rewriting

2005 ◽  
pp. 184-191 ◽  
Author(s):  
Jacques Wainer ◽  
Kwanghoon Kim ◽  
Clarence A. Ellis
Keyword(s):  
Mining Method ◽  
Workflow Mining

Quality Management Process Continuous Improvement Based on Workflow Mining

2011 ◽  
Vol 314-316 ◽  
pp. 2402-2407
Author(s):  
Liang Chen ◽  
Qiang Liu ◽  
Xiao Hua Li
Keyword(s):  
Quality Management ◽  
High Performance ◽  
Process Mining ◽  
Window Size ◽  
Sliding Window ◽  
Management Process ◽  
Mining Method ◽  
Workflow Mining ◽  
Adaptive Process

This paper presents an approach to diagnose and improve the quality management process based on workflow mining technology. In order to inspect each improvement stage in the PDCA lifecycle, an adaptive process mining method is proposed to reconstruct the workflow models from logs. In this method, a sliding window is defined on the process audit streams, and the sliding window size and process schedule method are continuously adjusted by the updating rules to adaptively find various stages of the process changes implied in the workflow log. Case study and comparisons are used to illustrate the accuracy and high performance of this algorithm in the end.

A Study on Detection of Small Size Malicious Code using Data Mining Method

2019 ◽  
Vol 19 (1) ◽  
pp. 11-17
Author(s):  
Taek-Hyun Lee ◽  
◽  
Ho Kook Kwang
Keyword(s):  
Data Mining ◽  
Malicious Code ◽  
Mining Method ◽  
Data Mining Method ◽  
Using Data

Similarity Detection Using Latent Semantic Analysis Algorithm

2018 ◽  
Vol 6 (8) ◽  
pp. 102
Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil
Keyword(s):  
Latent Semantic Analysis ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Mining Method ◽  
Research Papers ◽  
Information Measures ◽  
Automated Software ◽  
Day By Day ◽  
Ways Of Life ◽  
Dirichlet Allocation

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.

On-line forum hot topic mining method based on topic cluster evaluation

2013 ◽  
Vol 33 (11) ◽  
pp. 3071-3075 ◽  
Author(s):  
Hao JIANG ◽  
Xingshu CHEN ◽  
Min DU
Keyword(s):  
Mining Method ◽  
Cluster Evaluation ◽  
On Line ◽  
Topic Mining
Sign in / Sign up

Export Citation Format

Share Document