An index structure for fuzzy databases

Date

1996-09-11

Author

Yazıcı, Adnan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

191
views

0
downloads

Fuzzy querying involves more complex processing than ordinary querying does. In addition, a larger number of tuples will possibly be selected by fuzzy conditions compared to the crisp ones. The current index structures are inefficient in representing and dealing with uncertain and fuzzy data. In this paper we extend one of the multi-dimensional data structures, namely Multi Lever Grid File (Whang and Krishnamurty, 1991) for an efficient access to both crisp and fuzzy data. In order to take advantage of the indexing data structure proposed here, we first partition uncertain data in a way that accessing such data in a database is reasonably efficient. Therefore, we also focus on the issue of preparation of uncertain data before building the access structure. Then we compare the one proposed here with sequential access along with experimental results.

Subject Keywords

Indexes, Indexing, Data structures, Uncertainty, Buildings, Information retrieval, Office automation, Decision support systems, Database systems, Delay

URI

https://hdl.handle.net/11511/62464

Conference Name

Proceedings of IEEE 5th International Fuzzy Systems

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A complete axiomatization for fuzzy functional and multivalued dependencies in fuzzy database relations Yazıcı, Adnan (1996-09-11) In this paper we first introduce a new definition for the conformance of tuples existing in a fuzzy database relation. Then we give the formal definitions of fuzzy functional and multivalued dependencies on the basis of the conformance values presented here. Secondly, we list the inference rules after showing that both fuzzy functional and multivalued dependencies are consistent, that is, they reduce to those of the classic functional and multivalued dependencies when crisp attributes are involved. Finally,...
AN OPTIMISTIC LOCKING TECHNIQUE FOR CONCURRENCY-CONTROL IN DISTRIBUTED DATABASES Halıcı, Uğur (1991-07-01) An optimistic scheme, called ODL, which uses dummy locks to test the validity of a transaction for concurrency control in distributed database systems, is suggested. The dummy locks are long-term locks; however, they do not conflict with any other lock. By the use of long-term dummy locks, the need for the information about the write sets of validated transactions is eliminated and during the validation test only the related sites are checked. Also, the transactions to be aborted are immediately recogniz...
A rule-based method for object segmentation in video sequences Alatan, Abdullah Aydın; Onural, L (1997-01-01) Object segmentation and tracking are problems within the scope of MPEG-4 and MPEG-7 standardization activities. A novel algorithm for both object segmentation and tracking is presented. The algorithm fuses motion, color, and accumulated previous segmentation data at 'region level', in contrast to conventional 'pixel level' approaches. The information fusion is achieved by a rule-based region processing unit which intelligently utilizes the motion information to locate the objects in the scene, the color inf...
A Survey on cryptographic protocols using pairing-based cryptography Fetvacı, Şeyma; Cenk, Murat; Department of Cryptography (2019) With the thousands of works on pairing-based cryptography, the purpose of using pairings in the protocols/schemes have changed. Before, they were used just to attack the systems. Nowadays, they have been used to design such new cryptosystems that there were no applicable methods before for these protocols like Joux's key agreement scheme. The main purpose of this thesis is to analyze how some of these protocols use pairings-based cryptography in their schemes and what they achieve with these schemes. We fur...
An indexing technique for similarity-based fuzzy object-oriented data model Yazıcı, Adnan; Koyuncu, M (2004-01-01) Fuzzy object-oriented data model is a fuzzy logic-based extension to object-oriented database model, which permits uncertain data to be explicitly represented. One of the proposed fuzzy object-oriented database models based on similarity relations is the FOOD model. Several kinds of fuzziness are dealt with in the FOOD model, including fuzziness between object/class and class/superclass relations. The traditional index structures are inappropriate for the FOOD model for an efficient access to the objects wi...

Citation Formats

A. Yazıcı, “An index structure for fuzzy databases,” New Orleans, LA, USA, 1996, p. 1375, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62464.