A Brief Survey of Genetic-Fuzzy Data Mining Techniques

نویسندگان

  • Chun-Hao Chen
  • Tzung-Pei Hong
  • Vincent S. Tseng
چکیده

This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining will be first described. Three types of genetic-fuzzy data mining approaches are then described according to the utilized methods and different mining problems, including Integrated GeneticFuzzy approaches for items with Single Minimum Support (IGFSMS), Integrated Genetic-Fuzzy approaches for items with Multiple Minimum Supports (IGFMMS) and Divide-and-Conquer Genetic-Fuzzy approaches for items with Single Minimum Support (DGFSMS).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Brief survey of Data Mining Techniques Applied to Agricultural Data

As with many other sectors the amount of agriculture data based are increasing on a daily basis. However, the application of data mining methods and techniques to discover new insights or knowledge is a relatively a novel research area. In this paper we provide a brief review of a variety of Data Mining techniques that have been applied to model data from or about the agricultural domain. The D...

متن کامل

Data Mining, Soft Computing, Machine Learning and Bio-Inspired Computing for Heart Disease Classification / Prediction– A Review

Data mining is the most common research area in the field of computer science and allied areas. Decision making in clinical data mining plays a significant role in patient’s life. In this survey research article we aim to portray various data mining algorithms, soft computing techniques, machine learning algorithms and bio-inspired algorithms for predicting / classifying heart disease. Several ...

متن کامل

A Succinct Reflection on Data Classification Methodologies

Classification is a data mining (machine learning) technique used to assign group membership to various data instances. Indeed there are many classification techniques available for a scientist wishing to discover a model for his/her data. This diversity can cause trouble as to which method should be applied to which data set to solve a particular domain concentrated problem. This review paper ...

متن کامل

A Hybrid Approach of Fuzzy C-mean Clustering and Genetic Algorithm (GA) to Improve Intrusion Detection Rate

This paper describes a hybrid approach of Fuzzy C-means clustering and Genetic Algorithm (GA) is proposed that provides better accuracy & increases the intrusion detection rate. This approach provides better accuracy of detection as compared to K-means and FCM Clustering. With this proposed approach intrusion detection rate is improved considerably.A brief overview of a hybrid approach of genet...

متن کامل

A comprehensive survey of multi-objective genetic and fuzzy approaches in rule mining problem of knowledge discovery in databases

Knowledge Discovery in Databases (KDD) is the process of automatically searching patterns from large volumes of data by using specific data mining techniques. Classification, association, and associative classification (integration of classification and association) rule mining are popularly used rule mining techniques in KDD for harvesting knowledge in the form of rule. The classical rule mini...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008