Concept

Spamdexing

Related publications (19)

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

The identification of accident hot spots is a central task of road safety management. Bayesian count data models have emerged as the workhorse method for producing probabilistic rankings of hazardous sites in road networks. Typically, these methods assume ...

2020

ASTErIsM: application of topometric clustering algorithms in automatic galaxy detection and classification

Jean-Paul Richard Kneib, Frédéric Courbin, Danuta Janina Paraficz

We present a study on galaxy detection and shape classification using topometric clustering algorithms. We first use the DBSCAN algorithm to extract, from CCD frames, groups of adjacent pixels with significant fluxes and we then apply the DENCLUE algorithm ...

Oxford Univ Press2016

A Scalable Approach to Harvest Modern Weblogs

Olivier Eric Paul Blanvillain

Blogs are one of the most prominent means of communication on the web. Their content, interconnections and influence constitute a unique socio-technical artefact of our times which needs to be preserved. The BlogForever project has established best practic ...

World Scientific Publ Co Pte Ltd2015

TripEneer: User-based Travel Plan Recommendation Application

Karl Aberer, Surender Reddy Yerva, Flavia Adelina Grosan, Alexandru Octavian Tandrau

Current travel recommendation systems are helpful in addressing a traveler's information needs to certain extent, however, most of them fail to factor in the user in their recommendations. TripEneer proposes travel recommendations to a traveler by keeping ...

2013

Integrating Defect Data, Code Review Data, and Version Control Data for Defect Analysis and Prediction

Tao-Chun Lee

In this thesis, we present a new approach to integrating software system defect data: Defect reports, code reviews and code commits. We propose to infer defect types by keywords. We index defect reports into groups by the keywords found in the descriptions ...

2013

Omnidirectional object duplicate detection

Touradj Ebrahimi, Lutz Goldmann, Ivan Ivanov, Péter Vajda

With the technological evolution of digital acquisition and content analysis, millions of images and video sequences are captured every day and used in a large variety of applications. As keyword-based indexing is very time consuming and inefficient due to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Leveraging User-Generated Content for Information Discovery on the Web

Adriana Budura

The large-scale adoption of the Web 2.0 paradigm has revolutionized the way we interact with the Web today. End-users, so far mainly passive consumers of information are now becoming active information producers, creating, uploading, and commenting on all ...

EPFL2010

Improving Digest-Based Collaborative Spam Detection

Jean-Yves Le Boudec, Slavisa Sarafijanovic

Spam is usually sent in bulk. A bulk mailing consists of many copies of the same original spam message, each sent to a different recipient. The copies are usually obfuscated, i.e. modified a bit in order to look different from each other. In collaborative ...

2008

Perspectives for Rank Aggregation within Scientific Publication Databases

Martin Rajman, Martin Veselý

Ranking in scientific publication databases involves a variety of additional resources that are usually not applied in standard general purpose search engines. Moreover, community-specific expectations of users influence the perception of the adequacy of r ...

2008

The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings

Andrei Popescu-Belis

The AMIDA Automatic Content Linking Device (ACLD) is a just-in-time document retrieval system for meeting environments. The ACLD listens to a meeting and displays information about the documents from the group’s history that are most relevant to what is be ...

Springer-Verlag2008

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