Underwater Wireless Sensor Networks (UWSNs) are expected to support a variety of civilian and military applications. Sensed data can only be interpreted meaningfully when referenced to the location of the sensor, maki...
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Classification based on association rule mining aims to establish a model based on association rules, to classify an unknown object efficiently. In Software engineering it improves software productivity and quality;so...
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ISBN:
(纸本)0071078169
Classification based on association rule mining aims to establish a model based on association rules, to classify an unknown object efficiently. In Software engineering it improves software productivity and quality;software engineers are increasingly applying data mining algorithms to various software engineering tasks. However mining software engineering data poses several challenges, requiring various algorithms to effectively mine sequences, graphs and text from such data. Software engineering data includes code bases, execution traces, historical code changes, mailing lists and bug data bases. Data mining can be used in gathering and extracting latent security requirements, extracting algorithms and business rules from code, mining legacy applications for requirements and business rules for new projects etc. Mining algorithms for software engineering falls into four main categories: Frequent pattern mining - finding commonly occurring patterns;Pattern matching - finding data instances for given patterns;Clustering - grouping data into clusters and Classification - predicting labels of data based on already labeled data. In this paper, we propose a new approach of association rule mining named Combinatorial Approach of Association Rule Mining (CAARM) in software engineering. The CAARM makes use of combinatorial mathematics to discover all frequent patterns / itemsets in just a single scan of the training database. It also doesn't perform very complex or lengthy calculations during the process. Consequently, it mines all the association rules in the most efficient way.
A mobile ad-hoc network (MANET) is a collection of mobile nodes communicating within a transmission range and it is a self-configuring network of mobile routers. The concept of caching frequently accessed data provide...
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This paper investigates the integration of Nanoelectromechanical (NEM) relays on top of TSVs, to reduce area overhead and also enable possible novel architecture design. NEM relay is used in this work to reduce the co...
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Mobile devices are increasingly being used to store and manage users' personal information, as well as to access popular third-party context-based services. Very often, these applications need to determine common ...
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Various clustering methods have been applied to climate, ecological, and other environmental datasets, for example to define climate zones, automate land-use classification, and similar tasks. Measuring the "good...
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Preparing clean and clear images for the recognition engines is often taken for granted as a trivial task that requires little attention. Most of the existing OCRs have been designed in such a way that which correctly...
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We report on a comparative study that examines four conic luminance probes in their ability to measure small-spot display contrast. We performed linear scans of a slit using a computer-controlled stage. We found that,...
We report on a comparative study that examines four conic luminance probes in their ability to measure small-spot display contrast. We performed linear scans of a slit using a computer-controlled stage. We found that, although the probes were assembled according to the same design, small differences in their performance due to minor variations in materials and surfaces can be measured.
Software testing is one of the most important and critical activity of software development life cycle which ensures software quality and directly influences the development cost and success of the software. This pape...
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Software testing is one of the most important and critical activity of software development life cycle which ensures software quality and directly influences the development cost and success of the software. This paper empirically proposes a test metric for the estimation of the software testing effort using IEEE-Software Requirement Specification (SRS) document in order to avoid budget overshoot, schedule escalation etc., at very early stage of software development. Further the effort required to develop or test the software will also depend on the complexity of the proposed software. Therefore the proposed test metric computes the requirement based complexity for yet to be developed software on the basis of SRS document. Later the proposed measure is also compared with other proposals for test effort estimation like code based, cognitive value based and use case based measures. The result obtained validates that the proposed test metric is a comprehensive one and compares well with various other prominent measures. The computation of proposed test effort estimation involves least overhead as compared to others.
Spin-transfer Torque Random Access Memory (STT-RAM) emerges for on-chip memory in microprocessor architectures. Thanks to the magnetic field based storage STT-RAM cells have immunity to radiation induced soft errors t...
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