MOD

In today's large-scale data centers, energy costs (i.e., the electricity bill) are projected to outgrow that of hardware. Despite a long history of research in energy-saving techniques, especially low-power hardware, little work has been done to improve ...

Many modern applications, including online financial feeds, tag-based mass transit systems and RFID-based supply chain management systems transmit real-time data streams. There is a need for a special-purpose event stream processing technology to ...

Improvements in the efficiency of scientific simulations have lead to requirements of large databases. The data captured in such simulations is of large scale and poses challenges in storage, transfer and query processing. However, the data are ...

Rare association rules are the association rules consisting of rare items. It is difficult to mine rare association rules with the single minimum support based approaches such as Apri-ori and FP-growth as they suffer from rare item problem. In the ...

Deduplication refers to the task of finding instances that refer to the same entity in a given table. Several techniques have been presented based on a pairwise comparison and a typical result is the definition of three sets of records i) pairwise ...

Accurate tracking and tracing of moving objects is an emerging trend in vertical industries like retail, logistics, and manufacturing. In order to monitor objects in business processes, more and more companies are deploying upcoming technologies like ...

Research in transactions planning has recognized the evolvement of Web Services as an industry standard to implement transactional business processes. Web transactions are formed by integrating services in an ad-hoc manner. Distributed transaction ...

In this paper we deal with a ubiquitous problem in data management: hierarchical model estimation for large distribution sets. This particular problem arises in many applications. Classification, top-k query processing, clustering and outlier detection ...

Information extraction by text segmentation (IETS) applies to cases in which data values of interest are organized in implicit semi-structured records available in textual sources (e.g. postal addresses, bibliographic information, ads). It is an ...

Consider a universe of items, each of which is associated with a weight, and a database consisting of subsets of these items. Given a query set, a weighted set similarity query identifies either (i) all sets in the database whose similarity to the query ...