efficient c mining classifier

efficient c mining classifier

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An Efficient Approach to Enhance Classifier and Cluster Ensembles Using Genetic algorithms for Mining Drifting Data Streams

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a classification algorithm based on association rule mining

a classification algorithm based on association rule mining

Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. ... The efficiency of the mining algorithms plays an important role in tackling

(pdf) development of an efficient data mining

(pdf) development of an efficient data mining

DEVELOPMENT OF AN EFFICIENT DATA MINING CLASSIFIER WITH MICROARRAY DATA SET FOR GENE SELECTION AND CLASSIFICATION. santhosh kumar. N. Sakthivel. santhosh kumar. N. Sakthivel. INTRODUCTIONA DNA microarray is a multiplex technology [1,2,6,7,8] used in molecular biology. It consists of arrayed series of thousands of microscopic spots

ijca - efficient classifier generation over stream sliding

ijca - efficient classifier generation over stream sliding

Prasanna K Lakshmi and C.r.k.reddy. Article: Efficient Classifier Generation over Stream Sliding Window using Associative Classification Approach. International Journal of Computer Applications 115(22):1-9, April 2015. Full text available. ... Associative classification mining has shown better performance over many former classification

types of classifiers in mineral processing

types of classifiers in mineral processing

Mar 19, 2017 · Classifiers can be furnished either belt or motor driven. On the belt driven type a right angle drive can be supplied if desired. The standard motor drive is V to flat with 3-phase, 60 and 50 cycle, 220, 440 or 550 volt motor. The standard length of “C” type simplex classifier …

an efficient two-pass classifier system for patient

an efficient two-pass classifier system for patient

Mar 01, 2020 · Opinion mining is a well-known problem in natural language processing that increasing attention in recent years. • With the rapid growth in e-commerce, reviews for popular products on the web have grown rapidly. • The Two-pass classifier SVMNN is proposed to predict the given customer review is positive or negative. •

[pdf] efficient classifier for classification of

[pdf] efficient classifier for classification of

Data mining involves the process of recovering related, significant and credential information from a large collection of aggregated data. A major area of current research in data mining is the field of clinical investigations that involve disease diagnosis, prognosis and drug therapy. The objective of this paper is to identify an efficient classifier for prognostic breast cancer data

comparing various classifier techniques for efficient

comparing various classifier techniques for efficient

Jun 09, 2016 · Dheeraj Pal, Alok Jain, Aradhana Saxena, Vaibhav Agarwal (2016) Comparing Various Classifier Techniques for Efficient Mining of Data. In: Satapathy S., Bhatt Y., Joshi A., Mishra D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439

(pdf) classification algorithms in data mining

(pdf) classification algorithms in data mining

This paper presents the classification of power quality problems such as voltage sag, swell, interruption and unbalance using data mining algorithms: J48, Random Tree and Random Forest decision trees

efficient data-mining classification approach for ecg data

efficient data-mining classification approach for ecg data

Efficient Data-Mining Classification Approach For Ecg Data In Health Care Application. J S, T V. Preprint from Research Square, 03 Mar 2021 DOI: 10.21203/rs.3.rs-277577/v1 PPR: PPR292677 . Preprint This article is a preprint. It may not have been peer reviewed. Share this article

data mining - (classifier|classification function)

data mining - (classifier|classification function)

A classifier is a Supervised function (machine learning tool) where the learned (target) attribute is categorical (“nominal”) in order to classify.. It is used after the learning process to classify new records (data) by giving them the best target attribute ().. Rows are classified into buckets. For instance, if data has feature x, it goes into bucket one; if not, it goes into bucket two

three factors that affect classifying efficiency-xinhai

three factors that affect classifying efficiency-xinhai

Dec 12, 2017 · Spiral classifier plays a significant role in various mineral processing equipment. It can be said that spiral classifier is an indispensable part of the mineral processing. Here we introduce three factors that influence the working efficiency of the spiral classifier…

efficient online evaluation of big data stream classifiers

efficient online evaluation of big data stream classifiers

The evaluation of classifiers in data streams is fundamental so that poorly-performing models can be identified, and either improved or replaced by better-performing models. This is an increasingly relevant and important task as stream data is generated from more sources, in real-time, in large quantities, and is now considered the largest

6 factors affecting hydrocyclone efficiency - mining-pedia

6 factors affecting hydrocyclone efficiency - mining-pedia

Hydrocyclone is an effective fine particle classifing equipment in the present mineral processing equipment. Its structure is relatively simple, with a cylinder on the top and a …

efficient rule generation for associative classification

efficient rule generation for associative classification

Associative classification (AC) is a mining technique that integrates classification and association rule mining to perform classification on unseen data instances. AC is one of the effective classification techniques that applies the generated rules to perform classification. In particular, the number of frequent ruleitems generated by AC is inherently designated by the degree of certain minimum supports

using machine learning algorithms for breast cancer risk

using machine learning algorithms for breast cancer risk

Jan 01, 2016 · The present paper gives a comparaison between the performance of four classifiers: SVM5, NB6, C4.57 and k-NN8 which are among the most influential data mining algorithms in the research community and among the top 10 data mining algorithms9,10

an efficient framework for building fuzzy associative

an efficient framework for building fuzzy associative

Abstract. Association Rule Mining (ARM) with reference to fuzzy logic is used to further data mining tasks for classification and clustering. Traditional Fuzzy ARM algorithms have failed to mine rules from high-dimensional data efficiently, since those are meant to deal with relatively much less number of attributes or dimensions

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