Advances in Database Technology - EDBT 2004 by Elisa Bertino, Stavros Christodoulakis, Dimitris

By Elisa Bertino, Stavros Christodoulakis, Dimitris Plexousakis, Christophides Vassilis

This ebook constitutes the refereed court cases of the ninth foreign convention on Extending Database know-how, EDBT 2004, held in Heraklion, Crete, Greece, in March 2004. The forty two revised complete papers awarded including 2 business software papers, 15 software program demos, and three invited contributions have been rigorously reviewed and chosen from 294 submissions. The papers are equipped in topical sections on dispensed, cellular and peer-to-peer database structures; information mining and data discovery; reliable database structures; cutting edge question processing recommendations for XML info; information and data on the net; question processing strategies for spatial databases; foundations of question processing; complicated question processing and optimization; question processing strategies for facts and schemas; multimedia and quality-aware structures; indexing suggestions; and obscure series trend queries.

Show description

Read or Download Advances in Database Technology - EDBT 2004 PDF

Best data mining books

Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry: Third International Conference, MDA

This booklet constitutes the refereed court cases of the overseas convention on Mass information research of pictures and indications in medication, Biotechnology, Chemistry and nutrients undefined, MDA 2008, held in Leipzig, Germany, on July 14, 2008. The 18 complete papers awarded have been conscientiously reviewed and chosen for inclusion within the publication.

Applied Data Mining : Statistical Methods for Business and Industry (Statistics in Practice)

Information mining might be outlined because the strategy of choice, exploration and modelling of huge databases, on the way to become aware of types and styles. The expanding availability of information within the present info society has ended in the necessity for legitimate instruments for its modelling and research. information mining and utilized statistical equipment are the correct instruments to extract such wisdom from info.

Dark Web: Exploring and Data Mining the Dark Side of the Web

The college of Arizona synthetic Intelligence Lab (AI Lab) darkish net venture is a long term clinical learn application that goals to review and comprehend the overseas terrorism (Jihadist) phenomena through a computational, data-centric method. We goal to assemble "ALL" web pages generated by means of foreign terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, video clips, digital global, and so forth.

Beginning Apache Pig: Big Data Processing Made Easy

Learn how to use Apache Pig to strengthen light-weight enormous information purposes simply and fast. This ebook exhibits you several optimization concepts and covers each context the place Pig is utilized in vast information analytics. starting Apache Pig exhibits you ways Pig is straightforward to profit and calls for particularly little time to improve substantial information functions.

Additional info for Advances in Database Technology - EDBT 2004

Example text

However, Bloom filters are not appropriate for summarizing hierarchical data, since they do not exploit the structure of data. To this end, we introduce two novel multilevel data structures, Breadth and Depth Bloom filters, that support efficient processing of path queries. Our experimental results show that both multi-level Bloom filters outperform a same size traditional Bloom filter in evaluating path queries. We show how multi-level Bloom filters can be used as summaries to support efficient query routing in a P2P system where the nodes are organized to form hierarchies.

In particular, an access control mechanism can be used to ensure that UDDI entries are accessed and modified only according to the specified access control policies. Basically, an access control mechanism is a software module that filters data accesses on the basis of a set of access control policies. Only the accesses authorized by the specified policies are granted. Additionally, data can be protected during their transmission from the data server to the requestor using standard encryption techniques [10].

In this respect, the main requirement stated in [15] is that collected personal information must not be used or disclosed for purposes other than performing the operations for which it was collected, except with the consent of the subject or as required by law. Additionally, such information must be retained only as long as necessary for performing the required operations. Security and Privacy for Web Databases and Services 5 27 Towards a Secure Semantic Web For the semantic web to be secure all of its components have to be secure.

Download PDF sample

Rated 4.50 of 5 – based on 15 votes