Secure Data Mining

Erscheinungsjahr 2022
ISBN: 978-1-77469-284-4
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 241 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

This era of information technology has a distinctive features of enormous amount of data being produced and stored by all forms human activities. Computers are used to store a huge portion of this database called computer databases, making the data accessible by the computer technology. However, enormous amount of data creates a problem of extraction of valuable knowledge from the database. This books gives a secure method of data mining techniques taking into account the privacy and security of the data. Even in the disturbed environment, this approach can keep up the validity and authenticity of the data to produce the data after computation.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

- Chapter 1 Fundamentals of Data Mining
- Chapter 2 Security in Data Mining
- Chapter 3 Classification Approaches in Data Mining
- Chapter 4 Application of Secure Data Mining in Fraud Detection
- Chapter 5 Application of Data Mining in Crime Detection
- Chapter 6 Data Mining in Telecommunication Industry
- Chapter 7 Data Mining In Security Systems
- Chapter 8 Recent Trends and Future Projections of Data Mining

Über Autor(innen)

Jocelyn O. Padallan is Assistant Professor II from Laguna State Polytechnic University, Philippines and she is currently pursuing her Master of Science in Information Technology at Laguna State Polytechnic University San Pablo Campus and has Master of Arts in Education from the same University. She has passion for teaching and has been Instructor and Program Coordinator at Laguna State Polytechnic University