Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of
data classification research. With the emergence of big data, the performance and the …
data classification research. With the emergence of big data, the performance and the …
Mitigating access-driven timing channels in clouds using StopWatch
This paper presents StopWatch, a system that defends against timing-based side-channel
attacks that arise from coresidency of victims and attackers in infrastructure-as-a-service …
attacks that arise from coresidency of victims and attackers in infrastructure-as-a-service …
Fighting with the sparsity of synonymy dictionaries for automatic synset induction
Graph-based synset induction methods, such as MaxMax and Watset, induce synsets by
performing a global clustering of a synonymy graph. However, such methods are sensitive to …
performing a global clustering of a synonymy graph. However, such methods are sensitive to …
Domain-specific relation extraction: Using distant supervision machine learning
The increasing accessibility and availability of online data provides a valuable knowledge
source for information analysis and decision-making processes. In this paper we argue that …
source for information analysis and decision-making processes. In this paper we argue that …
Exploiting online human knowledge in requirements engineering
A Mahmoud, D Carver - 2015 IEEE 23rd International …, 2015 - ieeexplore.ieee.org
Data-driven Natural Language Processing (NLP) methods have noticeably advanced in the
past few years. These advances can be tied to the drastic growth of the quality of …
past few years. These advances can be tied to the drastic growth of the quality of …
Mining for topics to suggest knowledge model extensions
Electronic concept maps, interlinked with other concept maps and multimedia resources,
can provide rich knowledge models to capture and share human knowledge. This article …
can provide rich knowledge models to capture and share human knowledge. This article …
Methods of semantic proximity extraction between the lexical units in infocommunication systems
This paper presents one of the ways solution to the problem of lexical ambiguity: the using
methods of extraction and analysis of semantic relations between lexical units. The …
methods of extraction and analysis of semantic relations between lexical units. The …
BlueFinder: recommending wikipedia links using DBpedia properties
DBpedia knowledge base has been built from data extracted from Wikipedia. However,
many existing relations among resources in DBpedia are missing links among articles from …
many existing relations among resources in DBpedia are missing links among articles from …
Distributed tera-scale similarity search with mpi: Provably efficient similarity search over billions without a single distance computation
We present SLASH (Sketched LocAlity Sensitive Hashing), an MPI (Message Passing
Interface) based distributed system for approximate similarity search over terabyte scale …
Interface) based distributed system for approximate similarity search over terabyte scale …
A new text-based w-distance metric to find the perfect match between words
The k-NN algorithm is an instance-based learning algorithm which is widely used in the data
mining applications. The core engine of the k-NN algorithm is the distance/similarity function …
mining applications. The core engine of the k-NN algorithm is the distance/similarity function …