Assignment : Data Mining Student : Mohamed Kamara Professor : Dr. Albert Chima Dominic Course : CIS 500- Information Systems for Decision Making Data : 06/11/2014 This report is an analysis of the benefits of data mining to business practices
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called VLEACH which aims to reduce energy consumption within the wireless network. We evaluate both LEACH and V-LEACH through extensive simulations using OMNET++ simulator which shows that VLEACH performs better than LEACH protocol. Broadcasting‚ Clustering‚ LEACH protocol‚ VLEACH. Keywords 1. Introduction Wireless sensor network (WSN)[2‚3] consists of hundreds and even thousands of small tiny devices called sensor nodes distributed autonomously to monitor physical or environmental conditions‚ such
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application failover with the Availability Group Listener feature. Easily monitor the high availability configuration using AlwaysOn dashboard‚ a visual configuration of the health of your database. Enhance SQL Server failover clustering and support multi-site clustering across subnet to enable cross-datacenter failover of SQL Server instances. Help control when a failover should happen and eliminate false failover of instances and databases. Eliminate Idle Secondary Hardware Improve performance
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in the postpartum unit were very respectful in regards to allowing me to sleep. I also had a family member stay with me overnight and they were respectful of their sleep as well. To create a healing and restful environment for our patient can be clustering patient care. This can be done by entering the patient’s room maybe once or twice a shift and doing everything that needs to be done for that patient all at one time. This can allow less interruptions and allow the patient and their family members
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focus on‚ i.e. risk management and frauds and losses prevention. One of product from banking and finance institutions is credit loans. It is really a high risk business‚ but with business intelligence with data mining especially classification and clustering techniques‚ it can be maintained and implemented safely and of course with low risks‚ minimized frauds and losses and increased profits and revenues. Keywords : Banking and Finance‚ Business Intelligence‚ Data Mining‚ Risk Management‚ Credit
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another‚ and how consumers decide among products. Decision Analyst’s Advanced Analytics Group searches for and identifies patterns in the data. Rigorous analytic techniques (including factor analysis‚ discriminant analysis‚ k-means and hierarchical clustering‚ latent class segmentation‚ and Factor Segmentation) are used to organize consumers into groups with similar attitudes‚ needs‚ and desires. The size and market potential of each psychographic segment is determined‚ along with the positioning and
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Background Wine was once viewed as a luxury good‚ but now it is increasingly enjoyed by a wider range of consumers. According to the different qualities‚ the prices of wines are quite different. So when the wine sellers buy wines from wine makers‚ it’s important for them to understand the wine quality‚ which is in some degrees affected by some chemical attributes. When wine sellers get the wine samples‚ it makes difference for them to accurately classify or predict the wine quality and this will
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Self-Constructing Neural Fuzzy Inference Network and Its Applications‚” IEEE TRANSACTIONS ON FUZZY SYSTEMS‚ vol. 6‚ no. 1‚ pp. 12–32‚ 1998. [12] D. Wang‚ C. Quek‚ and G. Ng‚ “Novel self-organizing Takagi Sugeno Kang fuzzy neural networks based on ART-like clustering‚” Neural Processing Letters‚ vol. 20‚ no. 1‚ pp. 39–51‚ 2004. [13] K. H. Quah and C. Quek‚ "FITSK: Online Local Learning With Generic Fuzzy Input Takagi–Sugeno–Kang Fuzzy Framework for Nonlinear System Estimation‚" IEEE TRANSACTIONS ON SYSTEMS
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This is better described by the famous small world networks. It was Watts and Strogatz in 1998 that recognised that a class of random graphs could be categorised as small world networks. They noted that graphs could be classified according to their clustering coefficient and their diameter. Many random
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penicillin for a week. But current techniques cannot discriminate between a lesion and an abscess .Our paper aims at distinguishing these two by astute measurement of their respective sizes using two algorithms –hill climbing algorithm‚ fuzzy C mean clustering algorithm aided by fundus photograph. Keywords: Abscission‚ Fuzzy C‚ Hill climbing‚ Endodontic therapy‚ Lesion‚ Gutta- percha. I INTRODUCTION Human teeth will be more prone to infection if it is void of any care. In the recent past many people
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