[PDF] Top 20 Data Mining Techniques : An MRDM Approach
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Data Mining Techniques : An MRDM Approach
... relational data mining is used to retrieve the data across several ...multi-relational data mining approaches in different fields. MRDM uses huge search space of patterns which ... See full document
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Website Personalization Using Data Mining Techniques Collaborative Filtering
... current approach for personalized website design was easily applied to websites due to their cost- effective features, but the current approach cannot easily provide a more refined personalized service ... See full document
5
Using crowdsourced trajectories for automated OSM data entry approach
... new approach whereby 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 ...This ... See full document
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Stock data prediction using predictive data mining techniques
... applying data mining in suitable way hidden patterns can be uncovered which was not possible by traditional ...with data mining techniques. The huge amount of data generated by ... See full document
7
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
Positive and Negative Approach for Association Rule in Data Mining Techniques
... Then later we make the pair of item sets and apply the association rule for getting the required output. Srikant and Agrawal also proposed partitioned based mining association algorithm. Cai at al proposed ... See full document
7
Conceptual Review of clustering techniques in...
... scale data mining and clustering techniques are likely to adapt more local and instance-driven ...that mining long patterns can be very ...training data alone may result in suboptimal ... See full document
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Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... time. Data mining and statistical analysis go hand in hand in identifying these factors from a clinical database containing primary data pertaining to significant factors relating to ... See full document
5
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 ... See full document
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Intrusion Detection System Based on Data Mining Techniques
... The proposed method was triumphantly tested on the data log files and the database. The results of the proposed testimony are produce more accurate and irrelevant sets of patterns and the discovery time is less ... See full document
6
Heart Disease Prediction System Using Data Mining Techniques
... Most of the experiments conducted in this study were implemented with default parameters of the algorithms, further investigations should be performed with different parameter settings to enhance and expand the ... See full document
10
A Hybrid Approach To Evaluate Stock Returns Using Data Mining Techniques
... hybrid approach to evaluate stock returns using data mining techniques like the supervised learning ...Our approach helps the financial traders to predict the stock ... See full document
6
A Study on Recovery Techniques in Cyber Forensics using Data Mining Approach
... Magnetic media is composed of small weak domains in which all of the magnetic moments are aligned in one direction. A domain acts a weak magnet aligned in some random direction. Consider the surface of a disk drive upon ... See full document
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Enhanced Boosted Trees Technique for Customer Churn Prediction Model
... Abstract: - As the competition grows in the market, the organizations are more concern about customers than products. To be in the competition, organizations always want to retain their profitable customers. To predict ... See full document
5
A Novel Approach for Women’s Infertility Detection Using Data Mining Techniques
... of data mining are applying various methods & algorithms in order to discover &extract patterns of stored data ...[1].the data mining and the knowledge discovery application ... See full document
5
Data Mining Techniques and its Applications : An Approach to Discover Knowledge in Data
... applied data mining technique, which employs a set of pre- classified examples to develop a model that can classify the population of records at ...This approach frequently employs decision tree or ... See full document
5
Computational Approach for Promoter Identification with data Mining Techniques
... ke-REM constructs a rule-base by applying the data set attribute-value pairs. In an effort to generate a robust rule-base, attribute-value pairs with significant importance are used. The significant question at ... See full document
11
Application of data mining techniques for outlier mining in medical databases
... The data can have outliers due to several reasons such as abnormal patient condition or instrumentation errors or recording ...The data typically consists of records which may have several different types ... See full document
6
Title: Analysis of Crime Data using MongoDB
... of data sets such as structured, unstructured or semi-structured ...This data is usually generated from emails, audio files, documents, video, images, log files, click streams, call records, or financial ... See full document
5
Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES
... First, data cleaning was applied on the datasets. According to the missing data analysis, missing data have been removed from the ...missing data analysis, datasets were also cleaned to remove ... See full document
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