Data Mining Trends and Applications in Criminal Science and Investigations (Advances in Data Mining and Database Management)

ISBN 10: 152250463X / ISBN 13: 9781522504634

Verlag: Information Science Reference, 2016

Beschreibung

Bestandsnummer des Verkäufers ABLING22Oct2817100109444

Bibliografische Details

Titel: Data Mining Trends and Applications in ...

Verlag: Information Science Reference

Erscheinungsdatum: 2016

Einband: Hardcover

Zustand: New

Über diesen Titel

Inhaltsangabe:

The field of data mining is receiving significant attention in today's information-rich society, where data is available from different sources and formats, in large volumes, and no longer constitutes a bottleneck for knowledge acquisition. This rich information has paved the way for novel areas of research, particularly in the crime data analysis realm. Data Mining Trends and Applications in Criminal Science and Investigations presents scientific concepts and frameworks of data mining and analytics implementation and uses across various domains, such as public safety, criminal investigations, intrusion detection, crime scene analysis, and suspect modeling. Exploring the diverse ways that data is revolutionizing the field of criminal science, this publication meets the research needs of law enforcement professionals, data analysts, investigators, researchers, and graduate-level students.

Über die Autorinnen und Autoren:

Omowunmi Isafiade is currently a senior teaching assistant and a doctoral researcher at the University of Cape Town (UCT), South Africa. She obtained an M.Sc. degree in Computer Science from her current affiliation (UCT), in December 2012. Past affiliations were with the African Institute for Mathematical Sciences (AIMS) and the University of the Western Cape, Cape Town, South Africa, where she obtained a post-graduate diploma (PGDs) degree in Mathematical Sciences in June 2010, and a Bachelor (BSc.) honors degree in computer science from Federal University of Agriculture Abeokuta (FUNAAB), Nigeria. Omowunmi's area of research includes Machine learning, data mining & knowledge management, ubiquitous intelligence and pattern recognition. Omowunmi has quality journal publications, technical reports and refereed conference publications in the aforementioned research areas.

Antoine Bagula obtained his doctoral degree from the KTH-Royal Institute of Technology in Sweden. He held lecturing positions at Stellenbosch University (SUN) and the University of Cape Town (UCT) before joining the Computer Science department of the University of the Western Cape (UWC) in January 2014. Since 20016, Professor Bagula has consulted for the UNESCO, the World Bank and other international organizations on different telecommunication projects. Professor Bagula has been on the technical programme committees of more than 50 international conferences and on the editorial board of international journals. He has also co-chaired international conferences in the field of telecommunications and ICT. Professor Bagula has authored/co-authored more than 100 papers in peer-reviewed conferences, journals and book chapters. Professor Bagula's research interest is communication networking with a specific focus on the Internet-of-Things, Cloud Computing, Network security and Network protocols for wireless, wired, and hybrid networks integrating wireless and wired technologies and protocols.