Evidence identification in heterogeneous data using clustering

INIS

• data 100%
• configuration 100%
• applications 66%
• fuzzy logic 66%
• automation 33%
• algorithms 33%
• volume 33%
• range 33%
• environment 33%
• tools 33%
• people 33%
• increasing 33%
• reduction 33%

Computer Science

• Filesystems 100%
• Heterogeneous Data 100%
• Mean Algorithm 50%
• Systems and Application 50%
• Digital Forensics 50%
• Limited Ability 50%
• clustering approach 50%