Knowledge-Based Forensic Patterns and Engineering System

Author:

Tiwari Vivek1,Thakur R. S.2

Affiliation:

1. International Institute of Information Technology Naya Raipur, India

2. Maulana Azad National Institute of Technology, India

Abstract

This chapter outlines a devoted framework that can store forensic digital data patterns permanently. The issues, challenges, conceptual multilayer framework for developing forensic pattern warehouse for betterment of forensic prediction and forecasting has been discussed. A sequence of phases is involved during the design processes of forensic pattern warehouse, and initially, conceptual modeling is one of the significant and the initial phase of forensic pattern warehouse design, because it constructs the solid framework for the next level of phases. In view of high semantic nature, there is a need to take a different approach for forensic pattern warehouse design to accommodate flexibility, isolation, extensibility, and robustness. In this way, the context-oriented forensic pattern warehouse design is one of the possible ways to manage patterns in a better way. The context of underlying pattern also helps to guide the queries to give a more satisfactory result.

Publisher

IGI Global

Reference22 articles.

1. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. Proc. 20th Int. Conf. Very Large Data Bases, 1215, 487-499.

2. Bartolini, L., Elisa, B., Barbara, C., Paolo, C., Matteo, G., Marco, P., & Rizzi, S. (2003). Patterns for Next-generation DAtabase systems: preliminary results of the PANDA project. Proceedings of the Eleventh Italian Symposium on Advanced Database Systems.

3. Catherine, C., Aaron, K., & Robert, C. (2016). Development of a normalized extraction to further aid in fast, high-throughput processing of forensic DNA reference samples. Forensic Science International: Genetics, 25, 112-124.

4. New developments in forensic image processing and pattern recognition.;Z.Geradts;Science & Justice,2001

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