scholarly journals GIS based Serial Crime Analysis using Data Mining Techniques

2016 ◽  
Vol 153 (8) ◽  
pp. 19-23
Author(s):  
S. Sivaranjani ◽  
S. Sivakumari ◽  
S. Maragatham
Keyword(s):  
Data Mining ◽  
Crime Analysis ◽  
Data Mining Techniques ◽  
Serial Crime ◽  
Using Data

scholarly journals Crime analysis in India using data mining techniques

2018 ◽  
Vol 7 (2.6) ◽  
pp. 253 ◽  
Author(s):  
Deepika K K ◽  
Smitha Vinod
Keyword(s):  
Data Mining ◽  
Neural Networks ◽  
Random Forest ◽  
Crime Analysis ◽  
Random Forest Algorithm ◽  
Indian States ◽  
Data Mining Techniques ◽  
Crime Data ◽  
Crime Detection ◽  
Using Data

An approach for crime detection in India using Data mining techniques is proposed in this paper. The approach consists of the following steps - Data pre-processing, clustering, classification and visualization. Data mining techniques are often applied to Criminology as it provides good results. Criminology is a field which studies about various crime characteristics. Analyzing crime data means exploring crime data. Crime is identified using k-means clustering and the clusters are formed based on the similarity of the crime attributes. The Random Forest algorithm and Neural networks are applied on the data for classification. Visualization is achieved using the Google marker clustering and the crime spots are marked on the India map. The accuracy is verified using WEKA tool. This approach will benefit the Crime department of India in analyzing crime with better prediction. The paper focuses on the crime analysis of various Indian states and union territories during 2001 to 2012.  

scholarly journals CRIME ANALYSIS AND PREDICTION USING DATA MINING TECHNIQUES

2019 ◽  
Vol 5 (Special Issue 1) ◽  
pp. 602-607
Author(s):  
Rajkumar S ◽  
Sakkarai Pandi.M ◽  
Soundarya Jagan.J ◽  
Varnikasree P
Keyword(s):  
Data Mining ◽  
Crime Analysis ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals SURVEY ON CRIME ANALYSIS AND PREDICTION USING DATA MINING TECHNIQUES

2017 ◽  
Vol 7 (3) ◽  
pp. 1459-1466 ◽  
Author(s):  
H Benjamin Fredrick David ◽  
◽  
A Suruliandi
Keyword(s):  
Data Mining ◽  
Crime Analysis ◽  
Data Mining Techniques ◽  
Using Data

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

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