Data mining is a process of extracting knowledge from huge amount of data stored in databases, data warehouses and data repositories. Crime is an interesting application where data mining plays an important role in terms of prediction and analysis. Clustering is the process of combining data objects into groups. The data objects within the group are very similar and very dissimilar as well when compared to objects of other groups. This paper presents detailed study on clustering techniques and its role on crime applications. This study also helps crime branch for better prediction and classification of crimes
As crime rates keep spiraling each day, new challenges are faced by law enforcement agencies. They h...
Abstract-- This study focuses on the application of data analytics techniques such as clustering to ...
Crime is classically “unpredictable”. It is not necessarily random, but neither does it take place c...
The latest technological developments contributed significantly towards modernization, at the same t...
Crime continues to remain a severe threat to all communities and nations across the globe alongside ...
Data mining is the process of extracting useful records from the massive quantity of records and cha...
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our...
Abstract- Crimes cause terror and cost our society dearly in several ways. Data mining can be used t...
The concern about national security has increased significantly since the 26/11 attacks at Mumbai. H...
In many countries the amount of crime incidents that is reported per day is increasing dramatically....
Crime is today a salient fact, an integral part of the risks we face in everyday life. The concern a...
In large datasets, data mining is one of the most powerful ways of knowledge extraction or we can sa...
In the current era, number of crimes occur in the society and this criminal rate increase day by day...
To predict crime and analyze crime activity we need to proceed with a systematic approach with data ...
To predict crime and analyze crime activity we need to proceed with a systematic approach with data ...
As crime rates keep spiraling each day, new challenges are faced by law enforcement agencies. They h...
Abstract-- This study focuses on the application of data analytics techniques such as clustering to ...
Crime is classically “unpredictable”. It is not necessarily random, but neither does it take place c...
The latest technological developments contributed significantly towards modernization, at the same t...
Crime continues to remain a severe threat to all communities and nations across the globe alongside ...
Data mining is the process of extracting useful records from the massive quantity of records and cha...
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our...
Abstract- Crimes cause terror and cost our society dearly in several ways. Data mining can be used t...
The concern about national security has increased significantly since the 26/11 attacks at Mumbai. H...
In many countries the amount of crime incidents that is reported per day is increasing dramatically....
Crime is today a salient fact, an integral part of the risks we face in everyday life. The concern a...
In large datasets, data mining is one of the most powerful ways of knowledge extraction or we can sa...
In the current era, number of crimes occur in the society and this criminal rate increase day by day...
To predict crime and analyze crime activity we need to proceed with a systematic approach with data ...
To predict crime and analyze crime activity we need to proceed with a systematic approach with data ...
As crime rates keep spiraling each day, new challenges are faced by law enforcement agencies. They h...
Abstract-- This study focuses on the application of data analytics techniques such as clustering to ...
Crime is classically “unpredictable”. It is not necessarily random, but neither does it take place c...