The possible leveraging of high deployment costs, and the possibility to increase revenue have also introduced the concept of network sharing between different operators. On the other hand, the realization of a user-centric paradigm in future heterogeneous wireless networks, which implies free and automatic choice among different available wireless and mobile access networks, will revolutionize...

Community detection on social networks typically aims to cluster users into different communities based on their social links. The increasing popularity of Location-based Social Networks offers the opportunity to augment these social links with spatial information, for detecting location-centric communities that frequently visit similar places. Such location-centric communities are important to...

With the growing technology, most of the focus is on spatial data mining. Spatial data mining refers to the extraction of unknown and unexpected information from spatial data sets of massive, high dimensionality and complex spatial databases. Spatial data mining is a process to discover related knowledge, potentially constructive and high utility patterns embedded in geographic Information. App...

Data-centric view: XML as exchange format for structured data Document-centric view: XML as format for representing the logical structure of documents XML Information Retrieval — Achievements and Challenges – p. 2/42 Data-centric view: XML as exchange format for structured data Document-centric view: XML as format for representing the logical structure of documents This talk: focus on document-...

BACKGROUND Genomic heterogeneity in human cancers complicates gene-centric personalized medicine. Malignant tumors often share a core group of pathways that are perturbed by diverse genetic mutations. Therefore, one possible solution to overcome the heterogeneity challenge is a shift from gene-centric to pathway-centric therapies. Pathway-centric perspectives, which underscore the need to under...

Data centric storages for sensor networks have been proposed to efficiently process multi-dimensional range queries as well as exact matches. Usually, a sensor network does not process only one type of the query, but processes various types of queries such as range queries, exact matches and skyline queries. Therefore, a sensor network based on a data centric storage for range queries and exact...

Training an automatic speech recognition (ASR) post-processor based on sequence-to-sequence (S2S) requires a parallel pair (e.g., result and human post-edited sentence) to construct the dataset, which demands great amount of labor. BackTransScription (BTS) proposes data-building method mitigate limitations existing S2S ASR post-processors, can automatically generate vast amounts training datase...

Many classifications of attacks have been tendered, often in taxonomic form. A common basis of these taxonomies is that they have been framed from the perspective of an attacker – they organize attacks with respect to the attacker’s goals, such as privilege elevation from user to root (from the well known Lincoln taxonomy). Taxonomies based on attacker goals are attack-centric; those based on d...

Enterprise systems development approaches can be classified into development-centric and procurement centric approaches. Based on the component-based system development methodology (CBSD), this chapter proposes a procurement-centric framework to develop enterprise content management (ECM) system. Adopting CBSD to develop ECM system avoids the drawbacks of the development-centric approaches, and...