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In this paper we examine issues involving measures of creativity for attribute data generalization using hierarchies. In particular we consider consensus and specificity measures for the partitions that result using crisp concept hierarchies. We note that fuzzy hierarchies do not produce partitions of data in general so some approaches to considering degrees of partitioning is described.
This paper presents a novel method of car detection by using the Adaboost algorithm, which is enhanced by the quadratic programming for feature extraction. In this paper, car is divided into many relevant features through their appearances in training samples such as wheel and window. We crop features of object in training images and utilize them for the Adaboost training. The results of the Adaboost...
MicroRNAs represent a class of non-coding endogenous small RNAs ~22 nt in length that play important regulatory roles in plant growth and development. Although an explosive increase in number of plant miRNAs have been documented in recent years, by cloning or computational approaches, only limited miRNAs have been reported in potato, which is an important crop worldwide. By searching the known miRNAs...
The conceptual formalisms supported by typical ontologies may be not sufficient for handling imprecise information commonly found in many application domains. Fuzzy ontologies are developed to overcome this problem. The implementation, inference and query of fuzzy ontologies gain more attention in recent years. This paper addresses fuzzy ontology implementation and query answering on databases. We...
This paper proposes a possibilistic database model that enables dealing with incomplete possibility distributions. The situation considered is that where the data provider does not have a complete knowledge of the attribute domains involved and is only able to specify more or less possible and completely impossible candidates for some attribute values. It is shown that the framework we propose constitutes...
We propose a solution to the problem of exploring large, complex data sets in a (relational) database by a human user. In a nutshell, our proposed solution is to develop the tools to support data exploration and browsing in an organized manner. We introduce: (a) an organization of data around the idea of defining distances on data sets, to reflect the intuitive notion of data that is (closely) related...
In recent years many approaches into Web-content development methods can be observed. In spite of many similarities in their description and formats; as in Dublin Core or LOM (learning object metadata), the characteristic features of these descriptors have not been strictly defined yet. What is more complexity of the available standards brings the user with difficulties to use them. The paper introduces...
This paper deals with a wireless indoor positioning problem in which the location of a tag is estimated from range measurements taken by fixed beacons. The measurements may be affected by non-line-of-sight (NLOS) errors that must be mitigated. We discuss a maximum likelihood (ML) positioning technique that assumes a realistic model for the range errors and a signature database providing information...
In this paper, we investigate a recently proposed efficient subspace learning method, Spectral Regression Discriminant Analysis (SRDA), and its kernel version SRKDA for head pose estimation. One important unsolved issue of SRDA is how to automatically determine an appropriate regularization parameter. The parameter, which was empirically set in the existing work, has great impact on its performance...
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical knowledge through computational analyses. However, the available annotations are incomplete, in particular for recently studied genomes, and only a few of them are highly reliable human curated information. To support and...
We put forward a general attack against several group signatures. By checking whether schemes satisfy traceability, we show that the several group signatures are not secure. In contrast to those attacks against these schemes, the new attack is very understandable and simple. It's also the first time to show the scheme is insecure.
As part of the DARPA sponsored high productivity computing systems (HPCS) program, IBM is building petaflop supercomputers that will be fast, power-efficient, and easy to program. In addition to high performance, high productivity to the end user is another prominent goal. The challenge is to develop technologies that bridge the productivity gap - the gap between the hardware complexity and the software...
The topic correlation judgment algorithm based on weight and threshold is proposed as for the problem that Web pages which are closely related to the given topic may be neglected due to not all keywords given by the users in the pages when users retrieve the topic they desire on the Internet. The algorithm retrieves the topic on the Web sites in depth by the hierarchical key structure on the basis...
Candidate key is a very important concept in database design, the right or wrong of the appointed candidate keys determines the database optimization result to some extent. A solution algorithm solving candidate keys of single attribute functional dependency sets based on Boolean matrix is given in this paper. N class attribute, circuit and subgraph don't have to be considered in the method, and it...
Credit card business has developed quickly in the world in the past years. In order to prevent defaulting risk, some useful tools are used in credit card management. Application Scoring and Behavior Scoring are two important steps in this process, which data mining algorithms are used widely. In this paper, the application of data mining in credit card management are analyzed and the experiments show...
With the development of e-commerce and internet, the retrieval and reuse methodology of a great deal of faults diagnosis and treatment case knowledge in databases of remote center is a key technology in remote diagnosis and e-maintenance. In this article, firstly, the basic method and shortcoming of retrieval mechanism of CBR system is analyzed. The Manhattan distance and fuzzy method based similarity...
Information overload and inappropriate is becoming one of the problems that hinder the effectiveness of e-government services. We need an effective personalized platform and technology to solve this problem. Gridding management is a new management model and it was successfully applied on city management system such as police work, city environment and sanitation, traffic management, and water management...
In order to improve the speed of clustering data mining, aiming at the characteristics of BIRCH algorithm, this paper has done research and analysis on rapid clustering data mining in the cluster system, and presented several improvement suggestions such as using data parallel thinking, uniform data distribution strategy , clustering communication mode and the optimization of clustering results. Experiment...
DNS is now a widespread network of domain name service. The domain names and IP, which need to be resolved, are also stored in the correspondent database. However, with the increasing of the DNS function, some databases cannot be greatly expanded to store new data or cannot meet the requirements of high and efficient DNS service. This paper suggested ways to integrate the DNS and LDAP to achieve a...
Recent research has shown that including context in a recommender system may improve its performance. The context-based recommendation approaches are classified as pre-filtering, post-filtering and contextual modeling. Moreover, in real e-commerce applications, collecting ratings may be quite difficult. It is possible to use purchasing frequencies instead of ratings, but little research has been done...
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