NDLI: Finding common ground among experts' opinions on data clustering: With applications in malware analysis

Content Provider	IEEE Xplore Digital Library
Author	Guanhua Yan
Copyright Year	2014
Description	Author affiliation: Inf. Sci. Group (CCS-3), Los Alamos Nat. Lab., Los Alamos, NM, USA (Guanhua Yan)
Abstract	Data clustering is a basic technique for knowledge discovery and data mining. As the volume of data grows significantly, data clustering becomes computationally prohibitive and resource demanding, and sometimes it is necessary to outsource these tasks to third party experts who specialize in data clustering. The goal of this work is to develop techniques that find common ground among experts' opinions on data clustering, which may be biased due to the features or algorithms used in clustering. Our work differs from the large body of existing approaches to consensus clustering, as we do not require all data objects be grouped into clusters. Rather, our work is motivated by real-world applications that demand high confidence in how data objects - if they are selected - are grouped together.We formulate the problem rigorously and show that it is NP-complete. We further develop a lightweight technique based on finding a maximum independent set in a 3-uniform hypergraph to select data objects that do not form conflicts among experts' opinions. We apply our proposed method to a real-world malware dataset with hundreds of thousands of instances to find malware clusters based on how multiple major AV (Anti-Virus) software classify these samples. Our work offers a new direction for consensus clustering by striking a balance between the clustering quality and the amount of data objects chosen to be clustered.
Sponsorship	IEEE Comput. Soc.
Starting Page	15
Ending Page	27
File Size	1536995
Page Count	13
File Format	PDF
ISBN	9781479925551
DOI	10.1109/ICDE.2014.6816636
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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