fuzzy data mining algorithm
Document Clustering: A Review
... effective Fuzzy based Multi label Document Clustering (FMDC) approach that combines fuzzy association rule mining with an existing ontology ...applies fuzzy data mining ...
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Academic performance prediction algorithm based on fuzzy data mining
... an algorithm for prediction of academic performance of students by fuzzy data ...The fuzzy-trace concept applied to predict the academic performance of the ...An algorithm is proposed ...
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The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method
... Data mining is the process of discovering useful pattern in data that are hidden and important ...applied data mining concepts to finding patterns in time series include Keogh and ...
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An Improvement in Outlier Detection Using Fuzzy Eclarance Clustering Algorithm for Data Mining
... Mohd - Al- Zoubi [14] This tabloid is probable a new resourceful method aimed at outlier uncovering. The projected method is grounded on fuzzy huddling performances. The c-means procedure is first implemented, and ...
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ABSTRACT Data Mining is very emerging technology for mining efficient dataset according to the user request. Association
... ABSTRACT: Data Mining is very emerging technology for mining efficient dataset according to the user ...in data mining which tell the relationship between two item sets by using the ...
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A Fuzzy Sequential Pattern Mining Algorithm Based on Independent Pruning Strategy for Parameters Optimization of Ball Mill Pulverizing System
... could be implemented for ball mill pulverizing system conveniently [12,13], but the initial points and the searching direction always affect the optimization results. Particle swarm optimization (PSO) [14] and genetic ...
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Soft-Computing Based Data Mining: A Review
... A fuzzy taxonomy is represented as a directed acyclic graph, each of whose edges represents a fuzzy IS-A relationship with degree ...discovering fuzzy association rules in relational ...The ...
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Fuzzy Association Rule by Classification Technique
... day’s fuzzy logic and data mining are the two most important techniques on the field of research ...area. Fuzzy logic uses linguistic variable to provide the answer that human being are not ...
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Guiding Genetic Program Based Data Mining Using Fuzzy Rules
... A data mining procedure for automatic determination of fuzzy deci- sion tree structure using a genetic program is ...an algorithm that evolves other algorithms or mathematical ...the ...
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... new algorithm of the data mining model in cloud computing base on web fuzzy clustering ...services: data cleaning algorithm for data sets with noise data ...
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Fuzzy membership functions in privacy preserving data mining
... preserving data mining for anonymization of data to preserve sensitive data in a ...the data so that the private date is not disclosed during data mining ...sanitised ...
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Fuzzy Logic Resource Manager: Evolving Fuzzy Decision Tree Structure that Adapts in Real-Time
... A fuzzy logic based algorithm for optimal allocation and scheduling of electronic attack resources distributed over many platforms is under ...genetic algorithm as a component of a data ...
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Dunham Data Mining pdf
... recent algorithm, CHAMELEON, is a hierarchical clustering algmithm that bases merging of clusters on both closeness and their interconnection ...the algorithm can be performed dynamically as the data ...
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Advanced Data Mining Techniques Olson DS (2008) pdf
... affiliation data. In other words, religious affiliation data put a restriction on how we could use the rest of the variables at ...cross-sectional data containing all relevant variables, a variety of ...
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Data Mining A Heuristic Approach Abbass HA (2002) pdf
... of data being mined, the pre-processing step may consist of several ...raw data is very large, we could use sampling and work with fewer instances, or use multi-resolution techniques and work with ...
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Data Mining Know It All Soumen Chakrabarti (2009) pdf
... Six hundred faults, each comprising a set of measurements along with the expert’s diagnosis, were available, representing 20 years of experience in the field. About half were unsatisfactory for various reasons and had to ...
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Applied Data Mining For Business And Industry Paolo Giudici (2009) pdf
... All this suggests the need for a systematic study of how to compare and evaluate statistical models for data mining. In this chapter we will review the most important methods. As these criteria will be ...
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A Novel Method to Build a Fuzzy Decision Tree Based On Hedge Algebras
... In recent years, hedge algebra is researched by many authors in the country and foreign authors and have significant results, especially in reasoning approximately and fuzzy control problem [1, 6, 11 -17, 21]. The ...
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Bird Eye Review: Distributed Approach for Advancement of K Means Clustering Algorithm
... similar data object in to one cluster, a well known K means clustering technique is ...clustering data mining ...clustering algorithm for large data set is very ...clustering ...
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Intrusion Detection Using Decision Tree Based Data Mining Technique
... Abstract— Nowadays computer attack has become very common. Although there are many existing mechanisms for Intrusion detection, but the main issues is the security and accuracy of the system. In this paper we have ...
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