The popularity of biometrics and its widespread use introduces privacy risks. To mitigate these risks, solutions such as the helper-data system, fuzzy vault, fuzzy extractors, and cancelable biometrics were introduced, also known as the field of template protection. Fuzzy vault is a practical and promising scheme, which can protect biometric templates and perform secure key management simultane...

As the next generation of the Web language, XML is straightforwardly usable, which has been the de-facto standard of information representation and exchange over the Web. XML employs a tree-structured data model, and XML queries specify patterns of selection predicates on multiple elements related by a tree structure. Due to increase in web-based applications, searching for all occurrences of a...

Due to the many limitation and poor data handling in the existing relational database, the software professional and researchers moves towards the object-oriented database which has much better capability to handling the real and complex real world data i.e. clear and crisp data and also have the capability to perform some huge and complex queries in an effective manner. On the other hand, a ne...

This contribution aims at the dissemination of a similarity-based generalization of fuzzy orderings, however, not from a purely theoretical perspective, but from the viewpoint of possible practical applications. After a short motivation of similarity-based fuzzy orderings, we consider four case studies with the aim to illustrate the application potential of fuzzy orderings—flexible query answer...

In this paper, we present a new query expansion method for document retrieval by mining additional query terms. The proposed query expansion method uses the vector space model to represent documents and queries. It uses the degrees of importance of relevant terms for finding additional query terms and uses fuzzy rules to infer the weights of the additional query terms. Then, these additional qu...

In this paper we are using intuitionistic fuzzy approach to minimize search domain in an accidental case where the data collected for investigation is intuitionistic fuzzy in nature. To handle these types of imprecise information we use intuitionistic fuzzy tolerance relation and translate intuitionistic fuzzy query to reach to the conclusion. Here we present an example of vehicle hit and run c...

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

Our research aim is to ameliorate the recall of the Fuzzy Proximity Information Retrieval Model (FPIRM) of Beigbeder & Mercier (2005), their approach is very “precise” when evaluating internationally agreed upon collections of documents used for benchmarking. The precision in this case for each query is the ratio of relevant documents retrieved over documents returned. However, the recall is we...

Dublin City University (DCU) and University of Tampere (UTA) participated in ImageCLEF 2007 photographic retrieval task with several monolingual and bilingual runs. The approach was language independent with text retrieval utilizing fuzzy s-gram query translation and combined with visual retrieval. Data fusion was achieved through unsupervised query-time weight generation approaches. The baseli...

web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...