scholarly journals DESIGN OF DATA MINING METHOD IN MAKING INTELLIGENT RESULTS REPORT TO PREVENT CRIMINAL ACTS OF TERRORISM IN THE SEMARANG IMMIGRATION OFFICE

2020 ◽  
Vol 2 (2) ◽  
pp. 67-81
Author(s):  
Y. Edo Budi Prasetyo
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Rapid Development ◽  
Active Role ◽  
The United States ◽  
Mining Method ◽  
Data Mining Techniques ◽  
Reduction Techniques ◽  
Cyber Intelligence ◽  
Using Data

The events of September 11 in the United States changed the world's understanding of terrorism. Terrorism is now understood as a transnational event. Countries in the world are trying to ratify legal instruments on the prevention and suppression of terrorism. Indonesia as a country that requires income from international migration events requires immigration to play an active role in preventing terrorism. With the rapid development of technology, data mining techniques on social media can be utilized to carry out cyber intelligence. This study aims to determine data mining techniques on social media twitter to prevent terrorism. This research uses descriptive qualitative research methods with the help of the socio-psychological narcissistic theory, intelligence, and data mining. The analysis was performed using data reduction techniques. This study will explain how data mining techniques on social media can be used to create immigration intelligence reports. This research is expected to be applied to the making of daily intelligence reports at the Semarang Immigration Office.  

scholarly journals Mining on Social Media Data: To Determine the Personality of Unrevealed Person

2019 ◽  
Vol 8 (4) ◽  
pp. 8574-8577
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Mining ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Network Discovery ◽  
The Social ◽  
Mining Methods ◽  
Using Data ◽  
Media Data

The unavoidable utilization of online networking like Facebook is giving exceptional measures of social information. Information mining methods have been broadly used to separate learning from such information. The character of the person is predicted whether he is good or not by using data mining techniques from user self-made data. Mining methods are being broadly using to separate learning from such information, main examples for them are network discovery and slant investigation. Notwithstanding, there is still a lot of room to investigate as far as the occasion information (i.e., occasions with timestamps, for example, posting an inquiry, altering an article in Wikipedia, and remarking on a tweet. These occasions react users' personal conduct standards and working forms in the social media websites.

scholarly journals Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

2017 ◽  
Vol 10 (3) ◽  
pp. 644-652
Author(s):  
Asha Asha ◽  
Dr. Balkishan
Keyword(s):  
Systematic Review ◽  
Data Mining ◽  
Social Media ◽  
Law Enforcement ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Online Social Media ◽  
Using Data ◽  
Media Data ◽  
Mining Tools

Escalating crimes on digital facet alarms the law enforcement bodies to keep a gaze on online activities which involve massive amount of data. This will raise a need to detect suspicious activities on online available social media data by optimizing investigations using data mining tools. This paper intends to throw some light on the data mining techniques which are designed and developed for closely examining social media data for suspicious activities and profiles in different domains. Additionally, this study will categorize the techniques under various groups highlighting their important features, challenges and application realm.

scholarly journals An Application Of A Data Mining Technique For Assessing The Risk Of Management Fraud

1998 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Ashutosh Deshmukh ◽  
Lakshminarayan Talluru
Keyword(s):  
Data Mining ◽  
Rapid Development ◽  
Data Mining Technique ◽  
Data Mining Techniques ◽  
Management Fraud ◽  
Data Mining Tool ◽  
Mining Technique ◽  
Mining Tool ◽  
Using Data ◽  
Big Six

Data mining techniques identify relationships, patterns, trends, and predictive information form large and complex databases. This study demonstrates the use of a data mining technique to assess the risk of management fraud. We use a data mining tool to analyze the management fraud data, presence or absence of red flags in fraud and no fraud cases, collected by a Big Six firm. The ensuing results compare favorably with the statistical and neural network results obtained by the other studies. The study illustrates the ease of using data mining techniques by demonstrating the rapid development of models, querying capabilities, and ease of encoding statistical models in audit decision making.

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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