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and Data Mining Techniques

Stock data prediction using predictive data mining techniques

Stock data prediction using predictive data mining techniques

... of Data mining for Stock price predictions: Several works are done to predict stock price movements based on charting historical ...The data mining techniques can address such ...

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SURVEY ARTICLE A Survey: Network Intrusion Detection System based on Data Mining Techniques

SURVEY ARTICLE A Survey: Network Intrusion Detection System based on Data Mining Techniques

... many data mining techniques have been proposed to improve the classification mechanism of Network Intrusion ...one data mining algorithm is used to remove the demerits of one another ...

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A STUDY ON DATA MINING TECHNIQUES

A STUDY ON DATA MINING TECHNIQUES

... own data, which is bulk in ...huge data and they require the right data mining techniques which can be appropriate to various ...the techniques involved are classification, ...

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Spatial Data Mining Techniques.

Spatial Data Mining Techniques.

... Spatial Data Mining is the process of discovering interesting, unknown and useful patterns from huge spatial ...huge, techniques are required to aid human for extracting patterns and useful ...

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Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES

Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES

... of data from various perspectives and summarizing it into useful ...produces data that reasonable conclusions are derived by stakeholders for decision making that expectedly impact on students' learning ...

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Applications of Operations Research and Data Mining Techniques in the Healthcare Sector

Applications of Operations Research and Data Mining Techniques in the Healthcare Sector

... Data mining though has great importance in the area of medicine and a lot of scope , for now it is just an academic exercise with only a few success stories ...of data mining and researches. ...

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Heart Disease Prediction System Using Data Mining Techniques

Heart Disease Prediction System Using Data Mining Techniques

... using data mining technologies for facilitating data base decision support ...clinical data where vital information is ...of data in varied forms but this data is seldom visited ...

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Intrusion Detection System Based on Data Mining Techniques

Intrusion Detection System Based on Data Mining Techniques

... Wang et al. (2002) presented PRICES, an efficient algorithm for mining association rules. Their approach reduces large item set generation time, which dictates most of the time in generating candidates by scanning ...

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Application of data mining techniques for outlier mining in medical databases

Application of data mining techniques for outlier mining in medical databases

... of data analysis and the complex relationships that appear with regard to patient symptoms, diagnoses and behavior are the most promising areas of outlier ...in data predict significant (and often critical) ...

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Website Personalization Using Data Mining Techniques Collaborative Filtering

Website Personalization Using Data Mining Techniques Collaborative Filtering

... Collaborative filtering is demonstrated using the filtering techniques in the domain of movie recommendation. Visitors go to a movie’s page to check out the plot description and will be shown a list of similar ...

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Analysis of Data Mining Techniques

Analysis of Data Mining Techniques

... of data mining is implemented and study of data mining tool weka is ...different techniques of data mining ...different techniques of classification - reduction ...

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Data Mining Techniques: An Overview

Data Mining Techniques: An Overview

... Data mining analysis tends to work from the data up and the best techniques are those developed with an orientation towards large volumes of data, making use of as much of the collected ...

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Analysis of telecommunication companies’ data mining techniques in Philippines: A case study of globe telecom

Analysis of telecommunication companies’ data mining techniques in Philippines: A case study of globe telecom

... this data mining application relies on deviation ...level data can also aid in identifying ...level data for detecting cellular fraud is: “People who have a price plan that makes international ...

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Find like-minded user using Big Data Mining Technique: A Case Study on Twitter

Find like-minded user using Big Data Mining Technique: A Case Study on Twitter

... using data mining techniques: a survey of big ...the data that the internet user generating daily on liking, poking, tweeting, chatting on social media via traditional ...

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Data Mining and Clustering Techniques

Data Mining and Clustering Techniques

... in data mining ...other data mining techniques can determine the characteristics of these segments with respect to some desired ...

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Privacy Preserving Data Mining Technique to Recover Association Rules Using Homomorphic Encryption Technique

Privacy Preserving Data Mining Technique to Recover Association Rules Using Homomorphic Encryption Technique

... The data mining is a technique which is used for analysing the data and recovering the patterns for ...the data mining techniques are being used such as for classification, ...

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Title :    A STUDY ON HIGHER ORDER MINING (HOM) IN BUSINESS DOMAINS Author (s) : M.DEEPANAYAKI,  C.NANDHINI, S.POOJA

Title : A STUDY ON HIGHER ORDER MINING (HOM) IN BUSINESS DOMAINS Author (s) : M.DEEPANAYAKI, C.NANDHINI, S.POOJA

... of data and the traditional mathematical models are difficult predicts the segmentations and ...and data gathering capabilities are only partially ...through data mining techniques, it ...

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Real Time Data Analytics Loom to Make Proactive Tread for Pyrexia

Real Time Data Analytics Loom to Make Proactive Tread for Pyrexia

... The mining tools can be used for effective decision making from the above discovered hidden information on the massively collected big ...current techniques of knowledge discovery in databases using ...

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Prototype analysis of different data mining 
		Classification and 
		Clustering approaches

Prototype analysis of different data mining Classification and Clustering approaches

... is mining and analysis of data with different formations in meaningful parameter sequences and ...from data warehouses to suitable storage and manage information in multi-dimensional data ...

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Using crowdsourced trajectories for automated OSM data entry approach

Using crowdsourced trajectories for automated OSM data entry approach

... during data entry, the new geographic data can be added and be used to extract the common rules and patterns which can be linked to geometric and attribute data of ...on data mining ...

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