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Volumn 63 AISC, Issue , 2009, Pages 29-36

Text clustering for digital forensics analysis

Author keywords

Digital investigation; Forensics analysis; Text clustering

Indexed keywords

DIGITAL FORENSIC; DIGITAL INVESTIGATION; DIGITAL TOOLS; FORENSICS ANALYSIS; TEXT CLUSTERING; TEXT MINING TECHNIQUES;

EID: 84857840005     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-04091-7_4     Document Type: Conference Paper
Times cited : (28)

References (16)
  • 3
    • 58149139052 scopus 로고    scopus 로고
    • Data mining and homeland security: An overview
    • Seifert, J.W.: Data Mining and Homeland Security: An Overview. CRS Report RL31798 (2007), http://www.epic.org/privacy/fusion/crs-dataminingrpt.pdf
    • (2007) CRS Report RL31798
    • Seifert, J.W.1
  • 10
    • 4243116398 scopus 로고    scopus 로고
    • Countering terrorism through information technology
    • Popp, R., Armour, T., Senator, T., Numrych, K.: Countering terrorism through information technology. Comm. of the ACM 47, 36-43 (2004)
    • (2004) Comm. of the ACM , vol.47 , pp. 36-43
    • Popp, R.1    Armour, T.2    Senator, T.3    Numrych, K.4
  • 16
    • 28444440394 scopus 로고    scopus 로고
    • Automatic categorization of email into folders: Benchmark experiments on enron and SRI corpora
    • Bekkerman, R., McCallum, A., Huang, G.: Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora. CIIR Technical Report IR-418 (2004), http://www.cs.umass.edu/~ronb/papers/email.pdf
    • (2004) CIIR Technical Report IR-418
    • Bekkerman, R.1    McCallum, A.2    Huang, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.