By Elisa Bertino, Stavros Christodoulakis, Dimitris Plexousakis, Christophides Vassilis
This booklet constitutes the refereed court cases of the ninth overseas 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 commercial software papers, 15 software program demos, and three invited contributions have been conscientiously reviewed and chosen from 294 submissions. The papers are geared up in topical sections on allotted, cellular and peer-to-peer database structures; facts mining and information discovery; reliable database structures; cutting edge question processing suggestions for XML info; facts and knowledge on the net; question processing ideas for spatial databases; foundations of question processing; complicated question processing and optimization; question processing suggestions for information and schemas; multimedia and quality-aware platforms; indexing thoughts; and obscure series trend queries.
Read or Download Advances in Database Technology - EDBT 2004 PDF
Similar data mining books
"Machine studying and information Mining for computing device Security" presents an summary of the present kingdom of analysis in laptop studying and information mining because it applies to difficulties in desktop safety. This e-book has a powerful specialize in info processing and combines and extends effects from desktop safety.
This can be the 1st booklet treating the fields of supervised, semi-supervised and unsupervised computer studying jointly. The e-book provides either the idea and the algorithms for mining large facts units utilizing help vector machines (SVMs) in an iterative manner. It demonstrates how kernel established SVMs can be utilized for dimensionality aid and indicates the similarities and modifications among the 2 most well liked unsupervised options.
Monstrous information units pose a good problem to many cross-disciplinary fields, together with statistics. The excessive dimensionality and varied facts kinds and buildings have now outstripped the functions of conventional statistical, graphical, and knowledge visualization instruments. Extracting important info from such huge information units demands novel techniques that meld ideas, instruments, and methods from various parts, akin to desktop technology, information, man made intelligence, and monetary engineering.
This e-book constitutes the completely refereed court cases of the Fourth foreign convention on info applied sciences and functions, facts 2015, held in Colmar, France, in July 2015. The nine revised complete papers have been conscientiously reviewed and chosen from 70 submissions. The papers take care of the next issues: databases, information warehousing, facts mining, facts administration, information safeguard, wisdom and data structures and applied sciences; complex software of knowledge.
- Carrier System and Applications
- Scala: Guide for Data Science Professionals
- Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques
- Computational Intelligence in Data Mining - Volume 2: Proceedings of the International Conference on CIDM, 20-21 December 2014
- Intelligent Computer Mathematics: 10th International Conference, AISC 2010, 17th Symposium, Calculemus 2010, and 9th International Conference, MKM 2010, ...
- Semantic Web For Dummies
Additional info for Advances in Database Technology - EDBT 2004
Integrity and confidentiality. If UDDI registries are managed according to a two-party architecture, integrity and confidentiality can be ensured using the standard mechanisms adopted by conventional DBMSs . 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.
Furthermore, we propose an efficient mechanism for the propagation of filter updates. Our experimental results show that the proposed mechanism scales well to a large number of nodes. In addition, we propose creating overlay networks of nodes by linking together nodes with similar content. , the local documents) of two nodes is related to the similarity of their filters. This is cost effective, since a filter for a set of documents is much smaller than the documents themselves. Furthermore, the filter comparison operation is more efficient than a direct comparison between sets of documents.
This technique can be successfully employed in a two-party architecture. However, it does not fit well in the third-party model, if we do not want to require the discovery agency be trusted wrt authenticity. In such a scenario, it is not possible to directly apply standard digital signature techniques, since a service requestor may require only selected portions of an entry, depending on its needs, or a combination of information residing in different data structures. Additionally, some portions of the requested information could not be delivered to the requestor because of access constraints stated by the specified policies.