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[PDF] Top 20 R Language in Data Mining Techniques and Statistics

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R Language in Data Mining Techniques and Statistics

R Language in Data Mining Techniques and Statistics

... to R is to take advantage of the coverage and availability of new applica- tions where R is the best in the areas such as effective ge- neralized mixed models, as well as other general and addi- tional ... See full document

6

A Survey on Web Log Mining Pattern Discovery

A Survey on Web Log Mining Pattern Discovery

... for mining e-learning data step by step as well as how to apply the main data mining techniques used, such as statistics, visualization, classification, clustering, association ... See full document

10

Utilization of Data Mining Techniques for Analysis of Breast Cancer Dataset Using R

Utilization of Data Mining Techniques for Analysis of Breast Cancer Dataset Using R

... Data mining (DM) comprises the core algorithms that enable to gain fundamental insights and knowledge from massive ...data. Data mining is all about the larger knowledge discovery ... See full document

7

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) ... See full document

6

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 (DM), that is the process of observing patterns in large amount data involving methods of machine learning, statistics, and database systems ,has seen a boom in interest in many ... See full document

13

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

... the data confidentiality, integrity and system availability from various types of ...attacks. Data mining is an efficient artifice that can be applied to intrusion detection to ascertain a new ... See full document

9

Checking Language Dependent Accuracy of          Web Applications using Data Mining Techniques

Checking Language Dependent Accuracy of Web Applications using Data Mining Techniques

... CART algorithm was introduced by Leo Brieman et al. in 1984. CART is a binary recursive partitioning procedure. CART is based on greedy approach in which decision trees are constructed in divide and conquer, top-down, ... See full document

6

Soft Spatial Query Processing in Spatial Databases-A Case Study

Soft Spatial Query Processing in Spatial Databases-A Case Study

... spatial data mining tasks are generally an extension of data mining tasks in which spatial data and criteria are ...summarize data, (ii) find classification rules, (iii) make ... See full document

6

AN OVERVIEW OF NATURAL LANGUAGE PROCESSING AND BIG DATA ANALYTICS

AN OVERVIEW OF NATURAL LANGUAGE PROCESSING AND BIG DATA ANALYTICS

... of language processing at which subjective linguistics estimate humans understand or extricate ...NLP techniques required in relating ...5.BIG DATA ANALYTICS AND NLP Big Data is planned as ... See full document

7

Why only data mining? a pilot study on inadequacy and domination of  data mining technology

Why only data mining? a pilot study on inadequacy and domination of data mining technology

... Multimedia data mining: The latest system to catch the data accurately involves multimedia data mining, which is useful to extract the information’s from curious type of multimedia ... See full document

8

SENTIMENT ANALYSIS: AN ANALYSIS ON ITS PAST, PRESENT AND FUTURE SCOPE

SENTIMENT ANALYSIS: AN ANALYSIS ON ITS PAST, PRESENT AND FUTURE SCOPE

... of data mining which utilizes natural language processing techniques to extract people‟s opinion from World Wide ...Opinion mining system analyse each text and see which part contain ... See full document

6

Stock data prediction using predictive data mining techniques

Stock data prediction using predictive data mining techniques

... Prediction system of stock market is very crucial and essentially important because it deals with the huge amount of money and in today‟s growing and forward time, money is the first priority. The predicted value ... See full document

7

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 ... See full document

6

Pattern Mining Techniques of Data Mining

Pattern Mining Techniques of Data Mining

... a data set ...given data set. Several techniques have been proposed to improve the performance of frequent pattern mining ...frequent mining techniques including Apriori based ... See full document

7

Hadoop Based Parallel Framework for Feature Subset Selection in Big Data

Hadoop Based Parallel Framework for Feature Subset Selection in Big Data

... Various techniques like Filter [1], Wrapper [2], Hybrid, embedded methods are there for feature ...existing data mining algorithms with MapReduce programming framework is necessary to improve ... See full document

5

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 ... See full document

10

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

... skewed. Data mining algorithms often have great difficulty dealing with highly skewed class distributions and predicting rare ...many data mining systems will not generate any rules for ... See full document

7

Intrusion Detection System Based on Data Mining Techniques

Intrusion Detection System Based on Data Mining Techniques

... pre-processing data and relevant feature selection using information gain for reducing feature of dataset are very important to increase the classification ... See full document

6

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 ... See full document

5

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 ... See full document

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