MarCHGen: A framework for generating a malware concept hierarchy

2019 ◽  
Vol 36 (5) ◽  
Author(s):  
Thien Binh Nguyen ◽  
Cong Doi Tran ◽  
Thanh Tho Quan ◽  
Minh Hai Nguyen ◽  
Tuan Anh Le
Keyword(s):  
Concept Hierarchy

Concept Hierarchy Extraction from Textbooks

2015 ◽  
Author(s):  
Shuting Wang ◽  
Chen Liang ◽  
Zhaohui Wu ◽  
Kyle Williams ◽  
Bart Pursel ◽  
...  
Keyword(s):  
Concept Hierarchy

Association Rule Mining for Job Shop Scheduling Problem Based on Genetic Algorithm

2012 ◽  
Vol 629 ◽  
pp. 730-734 ◽  
Author(s):  
Cun Liang Yan ◽  
Wei Feng Shi
Keyword(s):  
Genetic Algorithm ◽  
Association Rule ◽  
Association Rule Mining ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Scheduling Problem ◽  
Job Shop Scheduling Problem ◽  
Rule Mining ◽  
Concept Hierarchy ◽  
Shop Scheduling

Job shop scheduling problem (JSP) is the most typical scheduling problem, In the process of JSP based on genetic algorithm (GA), large amounts of data will be produced. Mining them to find the useful information is necessary. In this paper dividing, hashing and array (DHA) association rule mining algorithm is used to find the frequent itemsets which contained in the process, and extract the corresponding association rules. Concept hierarchy is used to interpret the rules, and lots of useful rules appeared. It provides a new way for JSP study.

scholarly journals Ontology Based Concept Hierarchy Extraction of Web Data

2015 ◽  
Vol 8 (6) ◽  
pp. 536
Author(s):  
K. Karthikeyan ◽  
V. Karthikeyani
Keyword(s):  
Web Data ◽  
Concept Hierarchy

scholarly journals Selection of Fuzzy Controller Membership Functions Based on Adaptive Gaussian Cloud Transform

2018 ◽  
Vol 36 (3) ◽  
pp. 439-447
Author(s):  
Yong Wang ◽  
Cong Li ◽  
Hanqiao Huang ◽  
Huan Zhou
Keyword(s):  
Fuzzy Controller ◽  
Membership Functions ◽  
Threshold Values ◽  
Coverage Area ◽  
Concept Hierarchy ◽  
Response Characteristics ◽  
Sample Data ◽  
Cloud Transform ◽  
Six Degree Of Freedom ◽  
Selection Of

Aiming at the boundedness of existing methods of selecting membership functions, an adaptive Gaussian cloud transform algorithm which is guided by the threshold values of hybridization degree is proposed to construct concept hierarchy from original sample data, and then the number, shape and coverage area of membership functions can be derived from the distribution of Gaussian cloud. To test and verify the effectiveness of membership function that is extracted based on adaptive Gaussian cloud transform algorithm, a six-degree-of freedom model of unmanned aerial vehicles(UAV) is constructed, and a fuzzy controller of pitching angle is established with the platform of Simulink. The simulation results show that the fuzzy controller which includes membership functions derived from the distribution of Gaussian cloud transform can achieve perfect control performance of pitching angle and meanwhile obtain good dynamic response characteristics.

MINING WEB DATA USING CLUSTERING TECHNIQUE FOR WEB PERSONALIZATION

2002 ◽  
Vol 02 (03) ◽  
pp. 255-265 ◽  
Author(s):  
SUPRIYA KUMAR DE ◽  
P. RADHA KRISHNA
Keyword(s):  
Dimensional Space ◽  
Web Personalization ◽  
Web Data ◽  
Concept Hierarchy ◽  
Web Usage ◽  
Hierarchy Model ◽  
Dimension Space ◽  
The Relationship ◽  
The Web ◽  
Usage Data

Clustering of data in a large dimension space is of great interest in many data mining applications. In this paper, we propose a method for clustering of web usage data in a high-dimensional space based on a concept hierarchy model. In this method, the relationship present in the web usage data are mapped into a fuzzy proximity relation of user transactions. We also described an approach to present the preference set of URLs to a new user transaction based on the match score with the clusters. The study demonstrates that our approach is general and effective for mining the web data for web personalization.

Patent Infringement Risk Analysis Using Rough Set Theory

2013 ◽  
pp. 1225-1251
Author(s):  
Chun-Che Huang ◽  
Tzu-Liang (Bill) Tseng ◽  
Hao-Syuan Lin
Keyword(s):  
Set Theory ◽  
Intellectual Property Rights ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Patent Infringement ◽  
Significant Issue ◽  
Concept Hierarchy ◽  
Monetary Value ◽  
Credibility Index

Patent infringement risk is a significant issue for corporations due to the increased appreciation of intellectual property rights. If a corporation gives insufficient protection to its patents, it may loss both profits from product, and industry competitiveness. Many studies on patent infringement have focused on measuring the patent trend indicators and the patent monetary value. However, very few studies have attempted to develop a categorization mechanism for measuring and evaluating the patent infringement risk, for example, the categorization of the patent infringement cases, then to determine the significant attributes and introduce the infringement decision rules. This study applies Rough Set Theory (RST), which is suitable for processing qualitative information to induce rules to derive significant attributes for categorization of the patent infringement risk. Moreover, through the use of the concept hierarchy and the credibility index, it can be integrated with RST and then enhance application of the finalized decision rules.

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