[PDF] Top 20 A Survey Paper on Crime Prediction Technique Using Data Mining
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A Survey Paper on Crime Prediction Technique Using Data Mining
... practical crime prevention solutions that equivalent to specific places and ...times. Crime analysis takes past crime data to predict future crime locations and time ...[1]. ... See full document
5
Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA
... of data is available in science, industry, business and many other ...This data can provide valuable information which can be used by management for making important ...is data mining. ... See full document
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Small Big Data: Using multiple data-sets to explore unfolding social and economic change
... reliable data is habitually derived from national surveys and official indicators – and for which ‘Big Data’ cannot be created, either due to the impossibility of retrospectively imputing measures of social ... See full document
6
Educational Data Mining & Students’ Performance Prediction
... research paper, multiple data mining tasks were used to create qualitative predictive models which were efficiently and effectively able to predict the students’ grades from a collected training ...a ... See full document
9
Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review
... stocks prediction, which is the main focus of this ...focusing on this issue is important, namely in using data mining with time series for short- term stocks ... See full document
5
A Survey On Detect - Discovering And Evaluating Trust Using Efficient Clustering Technique For Manets
... This paper concerned with distributed association rule mining algorithm in finding frequent malicious behaviour of the ...only on the reputation-based mechanisms that improve security in ...focuses ... See full document
7
A Survey of Classification Techniques in Data Mining
... Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data ...Consequently, data mining ... See full document
7
Applying Data Mining Technique For The Optimal Usage Of Neonatal Incubator
... based on data collected from Egyptian hospitals using EGGN ...published data and give a good agreement with more comprehensive results as the module is trained by all cases went to the ...this ... See full document
11
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
... The paper included a WM study on two online courses. Using WM to improve the two online courses experience, based on the results from the WM tool that used the logging ...discussion on ... See full document
21
The Role and Issues of Clustering Technique in Designing Maintainable Object Oriented System
... development technique has become very popular and is being used by most of the software development ...This paper investigates the use of clustering technique of data mining in ... See full document
5
The influence of active region information on the prediction of solar flares: an empirical model using data mining
... This paper describes how BPL is trained to formulate a model in order to predict the interval time to the next M- class flare and provide a confidence value for the prediction; the frequency of this class ... See full document
10
An Efficient Prediction of Breast Cancer Data using Data Mining Techniques
... This paper presents a comparison among the different Data mining classifiers on the database of breast cancer Wisconsin Breast Cancer (WBC), by using classification ...This paper ... See full document
6
SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES
... Coal mining areas are characterized by lower SES relative to non-mining areas, suggestive of higher CVD ...research on population health in coal mining areas has employed state-level mortality ... See full document
21
A New Approach to Find Predictor of Software Fault Using Association Rule Mining
... From the above table we found that all the top 20 rules revolve around only 8 metrics among 17 metrics: UWCS, INST, LMC, NOM, AVCC, LCOM2, CBO and FOUT. 9 metrics are deleted from analysis. According to our objective we ... See full document
14
Survey on Mining Order-Preserving Sub Matrices
... A survey of simultaneous clustering algorithms applied on biological data has been given by Madeira and ...based on five approaches: Iterative Row and Column Clustering Combination (IRCCC), ... See full document
6
A SURVEY ON PRIVACY PRESERVING ASSOCIATION RULE MINING
... from data by minimally perturbing their ...based on reducing the support and confidence of rules that specify how significant they ...constraint on the algorithms proposed is that the changes in the ... See full document
13
A Data Mining approach towards effective Dengue outbreak prediction in Seremban, Malaysia
... As suggested by the output of the ‘clValid’ package, the ‘week0’, ‘week1’ and ‘week2’ datasets were clustered using PAM as the clustering algorithm, which is a modern alternative to K-means clustering. PAM is an ... See full document
117
Clustering of User Behaviour based on Web Log data using Improved K-Means Clustering Algorithm
... Web data analysis includes the transformation and interpretation of web log data find out the information, patterns and knowledge ...by using more than 2 years of real data set collected from ... See full document
6
Decision Support System for Medical Diagnosis Using Data Mining
... The decision support systems that have been developed to assist physicians in the diagnostic process often are based on static data which may be out of date. A decision support system which can learn the ... See full document
7
A Survey Paper on Fuzzy Image Segmentation Techniques
... by using edge detection ...this technique the boundary is identified to ...Edges on the region are traced by identifying the pixel value and it is compared with the neighboring ... See full document
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