Data mining is a process of discovering unknown information from large datasets. Data mining is an effective way for a malicious hacker to extract information about people or any organization. This technique is useful when data from social networking sites like Facebook are taken into consideration. So, increasing use of social networking sites has lifted concerns about the misuse of people's' privacy. The main aim of this study is to find how people's privacy is invaded using data mining technique. The proposed system applies Random decision forest algorithm to study the patterns of SNS users. It uses various attributes to make a decision forest for knowledge discovery. The Rule Id from decision forest is mainly used to predict the privacy of people. The result using random decision tree has shown the better performance and accuracy in finding the knowledge from the given Facebook information. The accuracy has increased by 70.836 to 78.854 %. The processing time is increased by 0.6 to 0.3 seconds. The proposed system has been able to find the sensitive patterns using the classifiers called random decision forest algorithm. By using different dataset, the result was more accurate and less time-consuming.
|Title of host publication||Proceedings of the 2018 IEEE 8th Annual Computing and Communication Workshop and Conference|
|Place of Publication||USA|
|Publisher||IEEE, Institute of Electrical and Electronics Engineers|
|Number of pages||6|
|Publication status||Published - 27 Feb 2018|
|Event||8th IEEE Annual Computing and Communication Workshop and Conference: IEEE-CCWC 2018 - University of Nevada, Las Vegas, United States|
Duration: 08 Jan 2018 → 10 Jan 2018
https://web.archive.org/web/20171117133749/http://ieee-ccwc.org/ (Archived page)
http://ieee-ccwc.org/ (Conference website)
|Conference||8th IEEE Annual Computing and Communication Workshop and Conference|
|Period||08/01/18 → 10/01/18|
|Other||We are proud to present IEEE CCWC 2018 which will provide an opportunity for researchers, educators and students to discuss and exchange ideas on issues, trends, and developments in Computing and Communication. The conference aims to bring together scholars from different disciplinary backgrounds to emphasize dissemination of ongoing research in the fields of in Computing and Communication. Contributed papers are solicited describing original works in the above mentioned fields and related technologies. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions. All accepted papers will be presented during the parallel sessions of the Conference and papers will be submitted for publication at IEEE Xplore Digital Library.|
This conference will also promote an intense dialogue between academia and industry to bridge the gap between academic research, industry initiatives, and governmental policies. This is fostered through panel discussions, keynotes, invited talks and industry exhibits where academia is exposed to state-of-practice and results from trials and interoperability experiments. The industry in turn benefits by exposure to leading-edge research in networking as well as the opportunity to communicate with academic researchers regarding practical problems that require further research.