نتایج جستجو برای: fuzzy mining

تعداد نتایج: 174051  

2014
Anubha Sharma

Department of Computer Science & Engineering/Shriram College of Engineering & Management [SRCEM] Banmore, Gwalior (MP)/India, 474003 _______________________________________________________________________________________ Abstract: Data mining is sorting through data to identify patterns and establish relationships. Association rule mining is a well established method of data mining that identif...

2005
ANDERSON ARAÚJO CASANOVA SOFIANE LABIDI

This article proposes an algorithm for data mining that presents a new measure for assistance in the extraction of knowledge. The algorithm uses association rules to extract rules from the databases and fuzzy logic for the classification and comparison of the collected rules. Key-words: data mining, association rules, fuzzy logic, similarity and algorithm of the inverse confidence.

2005
Lingling Zhang Yong Shi Xinhua Yang

A Fuzzy Mining Algorithm for Association-Rule Knowledge Discovery" (2005). ABSTRACT ABSTRASCT Due to increasing use of very large database and data warehouses, discovering useful knowledge from transactions is becoming an important research area. On the other hand, using fuzzy classification in data mining has been developed in recent years. Hong and Lee proposed a general learning method that ...

2012
K. Sudharson N. Partheeban

Analyzing and predicting behavior of node can lead to more secure and more appropriate defense mechanism for attackers in the Mobile Adhoc Network. In this work, models for dynamic recommendation based on fuzzy clustering techniques, applicable to nodes that are currently participate in the transmission of Adhoc Network. The approach focuses on both aspects of MANET mining and behavioral mining...

2011
Miguel Delgado M. Dolores Ruiz Daniel Sánchez José-María Serrano

In this paper we present how to extract fuzzy association rules involving both the presence and the absence of items using a fuzzy rule mining procedure introduced by the authors in previous works. The rule mining procedure is based on the GUHA logical model, fuzzified via a recently proposed representation of gradualness. We present some results obtained with real datasets.

2001
Evangelos Kotsakis Antoni Wolski

We present a method for inducing a set of rules from time series data, which is originated from a monitored process. The proposed method is called MAPS (Mining Aberrant Patterns in Sequences) and it may be used in decision support or in control to identify faulty system states. It consists of four parts: training, identification, event mining and prediction. In order to improve the flexibility ...

2012
Chien-Hua Wang Wei-Hsuan Lee Chin-Tzong Pang

In data mining, the association rules are used to find for the associations between the different items of the transactions database. As the data collected and stored, rules of value can be found through association rules, which can be applied to help managers execute marketing strategies and establish sound market frameworks. This paper aims to use Fuzzy Frequent Pattern growth (FFP-growth) to...

Journal: :Soft Comput. 2012
Ana M. Palacios María José Gacto Jesús Alcalá-Fdez

Data Mining is most commonly used in attempts to induce association rules from databases which can help decision-makers easily analyze the data and make good decisions regarding the domains concerned. Different studies have proposed methods for mining association rules from databases with crisp values. However, the data in many real-world applications consist of interval and fuzzy values. In th...

2013
ZhenYu Han ZhenJie Shi QingE Wu Wei Hu

For carrying out a real-time and effective fault diagnosis to satellite, this paper studies a new data mining approach that is called the fuzzy incomplete approach, and gives its algorithm implementation in the satellite fault diagnosis. The application comparison of the new data mining approach with other data mining approaches is discussed by measuring the performance of each approach from th...

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