Indian Journal of Science and Technology
DOI: 10.17485/ijst/2015/v8iS9/43102
Year: 2015, Volume: 8, Issue: Supplementary 9, Pages: 1-7
Original Article
S. Gowri 1* and G. S. Anandha Mala2
1 Sathyabama University, Chennai, India; [email protected]
2 St. Joseph's College of Engineering, Chennai, India; [email protected]
There are numerous imperative digitaltext based proofs, some of which are SMS (Short Message Services), messages, mails, chat logs, etc. The person who researches a case is fundamentally overflowed with information and he needs to invest all his profitable examination time, examining through the loud indexed lists and experiencing unimportant query items. Hence a system is initiated using digital textual data mining standards for configuration and execution, which enhances IIR (Intelligent Information Retrieval) viability in digital forensics. The framework analyzes the input corpus data with domain specific keywords after which search and ranking of the SMSs, based on the weight of the keywords of forensic interest is computed. This software is developed as a proof of concept with data mining and weighted search concepts.
Keywords: Digital Forensics, Digital Textual Data, IR, Keyword Ranking, Knowledge Mining, String Search
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