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[PDF] Top 20 A Study on Selective Data Mining Algorithms

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A Study on Selective Data Mining Algorithms

A Study on Selective Data Mining Algorithms

... The training examples are vectors in a multidimensional feature space, each with a class label. The training phase of the algorithm consists only of storing the feature vectors and class labels of the training samples. ... See full document

5

Data Mining: A Preprocessing Engine

Data Mining: A Preprocessing Engine

... HSV data set was experimented in two ways. First, the entire HSV data set which consists of 122 examples was considered as a training set and no testing set was ...the data set was fragmented into ... See full document

5

Formalization of Learning Patterns Through SNKA

Formalization of Learning Patterns Through SNKA

... Many Data mining methods were ...based on their profile characterization. Their supportive algorithms are decision tree, Naïve Bayesian, Neural network and ...networking data analysis. ... See full document

5

Optimization of Building Energy Consumption through Data Mining Using Modern Science

Optimization of Building Energy Consumption through Data Mining Using Modern Science

... new data mining knowledge is one of ten sciences developing in the next decade makes the technological to meet the ...of data mining for the first time was introduced by doctor GregoryShapiro ... See full document

9

Modified Weighted PageRank Algorithm using Time Spent on Links

Modified Weighted PageRank Algorithm using Time Spent on Links

... Web Mining is the process of extraction of unspecified, valuable and comprehensible patterns of information from a large web data ...Web Mining is categorised into Web Structure Mining, Web ... See full document

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Mining Frequent Itemsets from Online Data Streams: Comparative Study

Mining Frequent Itemsets from Online Data Streams: Comparative Study

... built on the idea of [Karp ...itemset mining in a streaming ...bound on the superset computed after the first pass. Third, it developed a data structure and a number of other implementation ... See full document

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Overview Of Streaming-Data Algorithms

Overview Of Streaming-Data Algorithms

... in data collection techniques, massive amounts of data are being collected at an extremely fast ...these data are potentially unbounded. Boundless streams of data collected from sensors, ... See full document

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Towards a New Approach for Mining Frequent Itemsets on Data Stream

Towards a New Approach for Mining Frequent Itemsets on Data Stream

... pattern mining has been a focused theme in data mining research for over a ...scalable algorithms for frequent itemset mining in transaction databases to numerous research frontiers, ... See full document

5

A Data Mining view on Class Room Teaching Language

A Data Mining view on Class Room Teaching Language

... From ancient period in India, educational institution embarked to use class room teaching. Where a teacher explains the material and students understand and learn the lesson. There is no absolute scale for measuring ... See full document

6

Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach

Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach

... bump data. 94.11% classification accuracy was achieved in the study in which k nearest neighbor algorithm was used as classification ...bump data. 91% classification accuracy was achieved in the ... See full document

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A Recent Review on XML data mining and FFP

A Recent Review on XML data mining and FFP

... Data Mining is referred to as Knowledge Discovery in ...and algorithms to find patterns. However data on the web and bioinformatics databases often lack such a regular structure called ... See full document

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A Hybrid Approach to Privacy Preserving in Association Rules Mining

A Hybrid Approach to Privacy Preserving in Association Rules Mining

... Nowadays, data mining is a useful, yet dangerous technology through which useful information and the relationships between items in a database are ...in data mining was introduced for managing ... See full document

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CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH

CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH

... of data that is being generated every day by remote sensors raises more challenges to be ...ICP: Data Mining Package, is able to perform supervised classification procedures on huge amounts of ... See full document

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Towards a Data Mining Class Library for Building Decision Making Applications

Towards a Data Mining Class Library for Building Decision Making Applications

... this algorithms use clustering techniques in order to determinate the appropied rules to work with the data ...based on a Java Library called JT2FIS ... See full document

5

Analyzing Chatbots Data with Data Mining

Analyzing Chatbots Data with Data Mining

... based on beam search algorithms. Beam search algorithms use breadth-first search to build its search ...searches on a wide range of optimal ... See full document

132

Detection and Evaluation of Cheating on College Exams using Supervised Classification

Detection and Evaluation of Cheating on College Exams using Supervised Classification

... Text mining has been used for various purposes, such as document classification and extraction of domain-specific information from ...a study in which text mining methodology and algorithms ... See full document

22

A Survey Paper on Crime Prediction Technique Using Data  Mining

A Survey Paper on Crime Prediction Technique Using Data Mining

... past data and after analyzing data, predict the future crime with location and ...performance. Data mining technique are very useful to solving Crime detection ...to study various ... See full document

5

A P2P Botnet Virus Detection System Based on Data-Mining Algorithms

A P2P Botnet Virus Detection System Based on Data-Mining Algorithms

... The nodes in a P2P network are usually connected through an ad hoc network [3], and the main idea is to form a logical network through the existing physical network, rather than reconstructing a new physical network. No ... See full document

15

DATA CHARACTERIZATION TOWARDS MODELING FREQUENT PATTERN MINING ALGORITHMS

DATA CHARACTERIZATION TOWARDS MODELING FREQUENT PATTERN MINING ALGORITHMS

... shown on Table 5. Based on the observation of the characteristics of the input data, the number of the found sets shown in Table 5 indicates the ratio of the number of distinct items to the number of ... See full document

20

An Intelligent Association Rule Mining Model for Multidimensional Data Representation and Modeling

An Intelligent Association Rule Mining Model for Multidimensional Data Representation and Modeling

... rule mining algorithms to recognize frequent events in form of itemsets were widely-used example of association rule mining is Market Basket Analysis (Agrawal et ...work on association rules ... See full document

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