Earticle

초록

영어

Data mining is new but an interdisciplinary field utilizing statistics, machine learning, and other methods. In recent years, fuzzy logic has also been applied to augment data mining. The application of fuzzy logics makes the mining results more understandable and interpretable, apart from being useful and informative. Fuzzy rules are useful to summarize large databases. Several studies are done on fuzzy association rules. In our study, we argue that it is important and interesting to mine rules with timing information, as given by fuzzy sequential patterns. We propose the use of lattice structure for the summarization of fuzzy sequential patterns. We show that mining such rules requires managing a lot of information and we propose the use of lattice structure.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Data Summarization using Association Rules and Sequential Patterns
 4. Motivation for the Use of Fuzzy Sequential Patterns
 5. Fuzzy Sequential Patterns Summarization
 6. Role of Lattice structure
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Bhawna Mallick [ Deptt of Computer Science & Engg Thapar University ]
• Deepak Garg [ Deptt of Computer Science & Engg Thapar University ]
• P. S. Grover [ Deptt of Computer Science & Engg GTBIT ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605