Sciweavers

SIGIR
2006
ACM
13 years 11 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
WCRE
2006
IEEE
13 years 11 months ago
Monitoring Requirements Coverage using Reconstructed Views: An Industrial Case Study
Requirements views, such as coverage and status views, are an important asset for monitoring and managing software development. We have developed a method that automates the proce...
Marco Lormans, Hans-Gerhard Groß, Arie van D...
CSMR
2006
IEEE
13 years 11 months ago
Can LSI help Reconstructing Requirements Traceability in Design and Test?
Managing traceability data is an important aspect of the software development process. In this paper we investigate to what extent latent semantic indexing (LSI), an information r...
Marco Lormans, Arie van Deursen
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
13 years 11 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
WCRE
2008
IEEE
13 years 11 months ago
Automated Concept Location Using Independent Component Analysis
Concept location techniques are designed to help isolate sections of source code that relate to specific concepts. Blind Signal Separation techniques like Singular Value Decompos...
Scott Grant, James R. Cordy, David B. Skillicorn
ICDIM
2008
IEEE
13 years 11 months ago
A fast approximate algorithm for large-scale Latent Semantic Indexing
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....
Dell Zhang, Zheng Zhu
CSMR
2008
IEEE
13 years 11 months ago
Towards Recovering Architectural Concepts Using Latent Semantic Indexing
Software engineers think about an existing software system in terms of high-level models. The high-level models are translated to source code and the concepts represented in these...
Pieter van der Spek, Steven Klusener, Piërre ...
CIKM
2009
Springer
13 years 11 months ago
Supervised semantic indexing
We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
ICSM
2009
IEEE
13 years 11 months ago
What's hot and what's not: Windowed developer topic analysis
As development on a software project progresses, developers shift their focus between different topics and tasks many times. Managers and newcomer developers often seek ways of un...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 5 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler