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144
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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 4 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
143
Voted
CIKM
2006
Springer
15 years 7 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
125
Voted
EENERGY
2010
15 years 7 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
139
Voted
CIKM
2006
Springer
15 years 7 months ago
On the structural properties of massive telecom call graphs: findings and implications
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
Amit Anil Nanavati, Siva Gurumurthy, Gautam Das, D...
114
Voted
BIOSTEC
2008
148views Healthcare» more  BIOSTEC 2008»
15 years 5 months ago
Representing and Reasoning with Temporal Constraints in Clinical Trials Using Semantic Technologies
Clinical trial protocols include schedule of clinical trial activities such as clinical tests, procedures, and medications. The schedule specifies temporal constraints on the seque...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...