Volume-10 ~ Issue-4
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Abstract: Software engineers and architects have been faced with the problem of IT system complexity for some years. The challenge to build highly complex IT systems, ensure that these systems meet the needs of increasingly complex business processes and do all this in a way that allows everything to adapt quickly to changing market condition coupled with rapid development in information technology has been a problem facing the development and building of workable and functional information systems. Research on this problem has been conducted and it was found to cause large cost of software development project, schedule overrun and outright software project failure. A novel architecture framework was developed as a tool for resolving and managing IT system complexity in the enterprise as the end objective. Comprehensive business system frameworks are necessary to capture the entire complexity of such systems. The framework provides the conceptual foundation necessary for building and managing the integral business system and all its components and also provides an integrated description of enterprise information systems that comprises of the back-end systems, front-end systems, management tools and communication system. The framework provides a detailed process of information system development and defines the necessary subsystems that make up the integrated enterprise information system.
Keywords and phrases: Complexity; Information System; Enterprise Architecture Frameworks Enterprise Architecture, Information Technology
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Abstract: A Wireless Sensor Network(WSN) contains short range energy limited terminals/nodes in which multiple nodes participates one by one to transfer data from source node to Base station. Each node appends some amount of delay which degrades the network performance as the jittered behaviour of network may not be allowed in some applications. Again the faulty nature of tandem nodes may create some severe routing scenarios. Concept of Broad Area Sensor Network (BASN) incorporates a real time communication between sensor node and Base station, which helps to optimize the Quality of Service (QoS). Our goal is to do extensive simulation on performance analysis of such sensor networks and its optimization.
Keywords - WSN ,energy limited terminals, jitter, Quality of service(QoS)
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| Paper Type | : | Research Paper |
| Title | : | Sequential Pattern Mining Methods: A Snap Shot |
| Country | : | India |
| Authors | : | Niti Desai, Amit Ganatra |
| : | 10.9790/0661-01041220 ![]() |
Abstract: Sequential pattern mining (SPM) is an important data mining task of discovering time-related behaviours in sequence databases. Sequential pattern mining technology has been applied in many domains, like web-log analysis, the analyses of customer purchase behaviour, process analysis of scientific experiments, medical record analysis, etc. Increased application of sequential pattern mining requires a perfect understanding of the problem and a clear identification of the advantages and disadvantages of existing algorithms. SPM algorithms are broadly categorized into two basic approaches: Apriori based and Pattern growth. Most of the sequential pattern mining methods follow the Apriori based methods, which leads to too many scanning of database and very large amount of candidate sequences generation and testing, which decrease the performance of the algorithms. Pattern growth based methods solve all above problems and in addition, it works on projected database which minimize the search space. Paper reviews the existing SPM techniques, compares various SPM techniques theoretically and practically. It highlights performance evaluation of each of the techniques. Paper also highlights limitation of conventional objective measures and focused on interestingness measures. Finally, a discussion of the current research challenges and pointed out future research direction in the field of SPM.
Keywords: Sequential Pattern Mining, Sequential Pattern Mining Algorithms, Apriori based mining algorithm, FP-Growth based mining algorithm
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