scholarly journals A Survey on Crime Detection And Prediction Techniques

2022 ◽  
Vol 10 (1) ◽  
pp. 119-122
Author(s):  
Vinod Gendre
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Local Area ◽  
Crime Analysis ◽  
Main Concern ◽  
Criminal Cases ◽  
The Future ◽  
Crime Detection ◽  
Prediction Techniques

Abstract: Crime is a preeminent issue where the main concern has been worried by individual, the local area and government. Wrongdoing forecast utilizes past information and in the wake of investigating information, anticipate the future wrongdoing with area and time. In present days sequential criminal cases quickly happen so it is a provoking assignment to anticipate future wrongdoing precisely with better execution. This paper examines about various wrongdoing expectation and location. A productive wrongdoing forecast framework speeds up the method involved with addressing violations.. Wrongdoing Prediction framework utilizes recorded information and examinations the information utilizing a few dissecting strategies and later can anticipate the examples and patterns of wrongdoing utilizing any of the underneath referenced methodologies. Keywords: Crime Analysis, Data Mining, Classifiaction , Clustering

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.  

IMPLEMENTASI ALGORITMA REGRESI LINEAR SEDERHANA DALAM MEMPREDIKSI BESARAN PENDAPATAN DAERAH (STUDI KASUS: DINAS PENDAPATAN KAB. DELI SERDANG)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Fransiskus Ginting ◽  
Efori Buulolo ◽  
Edward Robinson Siagian
Keyword(s):  
Data Mining ◽  
Linear Regression ◽  
Visual Basic ◽  
Large Contribution ◽  
Simple Linear Regression ◽  
Information Discovery ◽  
Regional Income ◽  
Local Revenue ◽  
Local Taxes ◽  
The Future

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

Research on Persona-Based User Requirement in the Future Exploratory Products Design

2014 ◽  
Vol 912-914 ◽  
pp. 1710-1713
Author(s):  
Qing Zhang ◽  
Sui Huai Yu ◽  
Ming Jiu Yu
Keyword(s):  
Data Mining ◽  
User Modeling ◽  
Modeling Method ◽  
Mobile Internet ◽  
User Requirement ◽  
Operating Rules ◽  
The Future ◽  
Key Factor

During the design processing of the future exploratory products, requirements from users seems to be a key factor for products availability achievement. As a practical user modeling method, Persona may accomplish the potential needs data mining effectively based on the analyzing of users. This review mainly focused on how to apply the persona in the exploratory products investigation to acquire useful information from the products design. The method to establish persona and the operating rules were also discussed in this article. The concept of the mobile internet device in future was used as an case to demonstrate the persona mentioned above.

scholarly journals Sinergitas Nahdlatul Ulama dan Muhammadiyah Dalam Pengembangan Ekonomi Islam di Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 137-148
Author(s):  
Faishol Luthfi ◽  
Wildana Latif M.
Keyword(s):  
Qualitative Method ◽  
Analysis Data ◽  
Literature Analysis ◽  
The Future ◽  
Nahdlatul Ulama ◽  
Islamic Organizations ◽  
Research Studies

This paper aims to analyze the sinergity of Islamic organisations (Nahdlatul Ulama and Muhammadiyah) towards the development of Islamic Economy in Indonesia. This study uses a qualitative method. This type of research is literature analysis. Data is collected and analyzed from the main sources of Islam (i.e. Qur'an and Hadith) and previous research studies related to Islamic organizations in Indonesia. The authors find that Nahdlatul Ulama and Muhammadiyah are the largest Islamic organizations in Indonesia which have their own characteristics. Both of these organizations have a distinction in the methods of da'wah and mass bases. The synergy of Nahdlatul Ulama and Muhammadiyah through da'wah methods and mass bases can develop Islamic economy in Indonesia. The authors argue that in the future it may be necessary to have a deeper synergy between activists, administrators, and followers of Nahdlatul Ulama and Muhammadiyah. This paper is the pioneer to analyze the sinergity of Islamic organizations towards the development of Islamic Economy in Indonesia.

scholarly journals The Politics of Masculinity in Tony Gould’s Imperial Warriors: Britain and the Gurkhas

2021 ◽  
pp. 34-42
Author(s):  
Ram Prasad Rai
Keyword(s):  
Qualitative Research ◽  
Hegemonic Masculinity ◽  
Research Work ◽  
The Other ◽  
Main Concern ◽  
Journal Articles ◽  
Related Area ◽  
The World ◽  
The Future ◽  
Second World

The main concern of this paper is to study on masculinity and more importantly the hyper masculinity of the Gurkhas in Imperial Warriors: Britain and the Gurkhas by Tony Gould. The writer describes the courage with discipline and dedication, the Gurkhas had while fighting for Nepal, their homeland during the Anglo-Nepal War (1814-1816) and for Britain in the First and Second World Wars, following the other wars and confrontations in many parts of the world. Despite a lot of hardships and pain in wars, they never showed their back to the enemies, but kept Britain’s imperial image always high with victories. They received Victoria Crosses along with other bravery medals. As a masculinity, the hegemonic masculinity is obviously present in the book since the high ranked British Officers are in the position to lead the Gurkha soldiers. However, the masculinity here is associated with the extreme level of bravery and that is the hyper-masculinity of the Gurkhas. Since this is a qualitative research work, the researcher has consulted various books, reviews and journal articles related to the Gurkhas. It is a new concept in the study of the Gurkhas in the particular book by Gould. So, it will certainly be a new insight for the future researchers in the related area.

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