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Business Intelligence proves to be extremely useful to a vendor in order to raise the sales and product performance of products. It is an essential aspect to take business conclusions into account. There is massive data on social media that can be exploited to give us useful information. The present paper deals with a system created to exhibit intelligence. This system speculates the sales performance...
As a seeker (a person who want a blood) for a blood transfusion, it is important for him or her to receive the safest blood possible form the blood bank. All we know that the major task is done by the Blood bank is to provide the blood to seeker when they required. A blood bank store blood in the blood bank [http://blog.bloodconnect.org/faq/]with this reference article Whole blood can be stored up...
Social media sites are a major source for feedbacks, opinion, decision and other user-generated information on services products and ideas which help to mine human behavioral patterns and maps and measures formal and informal relationships between them. Blogs and social networks sites have recently become a valuable resource for mining sentiments, user opinion in fields as diverse as customer relationship...
Today, user generated content and online shared opinions are gaining relevance as a source of information not only for other consumers but also for retailers. However, the huge number of posted opinions makes difficult any manual analysis. This paper proposes a new approach for gender discourse analysis based on the semantic analysis of the content of shared reviews in electronic word of mouth communities...
This paper discusses the implementation of a decision support system for the prediction of asthma in a group of children with related medical factors. The system makes use of the survey data that is gathered as part of ISAAC Phase One Study, obtained through questionnaires completed by adolescents at school and at home by the parents of the children. The model is tested on cross-sectional study data...
A reversible data hiding (RDH) algorithm with improved security, which can reacquire the cover in separable manner from the marked stego-image is presented in this paper. In the content owner side cover image is encrypted by deploying user-defined security key derived-chaotic based transposition algorithm. Then the data hider conceals secret data into the encrypted image by perturbing its histogram,...
The prevalence of cloud computing has resulted in an increased number of services developed for the Web. Selecting an appropriate cloud service from amongst a lot of commonly featured available services has become very difficult particularly for non-IT users i.e. it is cumbersome for users to select a cloud service that is best suited to their requirements. Quality of service (QOS) is considered as...
Medical databases contain massive volume of clinical data which could provide valuable information regarding diagnosis, prognosis and treatment plan when mining algorithms are used in appropriate manner. The irrelevant, redundant and incomplete data in medical databases makes the extraction of useful pattern a difficult process. Feature selection, a robust data preprocessing method selects attributes...
This paper envisages showing the potential of innovative non-invasive techniques based on affordable and easily operated instrumentation as well as user-friendly computer aided algorithms in the screening of cardiovascular (CV) diseases. These techniques are based on the assumption that arterial stiffness is currently an important predicator of the CV diseases development and can be assessed by analyzing...
Association rules produced by the Apriori and FPGrowth algorithms reveal demographic factors associated with increased incidence of liver cancer and may provide a mechanism for early detection.
This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software...
This paper presents a new method to determine feeder reconfiguration scheme considering variable load profile. The objective function consists of system losses, reliability costs and also switching costs. In order to achieve an optimal solution the proposed method compares these costs dynamically and determines when and how it is reasonable to have a switching operation. The proposed method divides...
Discovery of association rules among the large number of item sets is considered as an important aspect of data mining. The ever increasing demand of finding pattern from large data enhances the association rule mining. Researchers developed a lot of algorithms and techniques for determining association rules. The main problem is the generation of candidate set. Among the existing techniques, the...
Memristive electrical behavior has recently gained attention because of technological advances in nanostructuring, which has enabled the fabrication of working devices. However, such investigations have been limited to mobile ionic systems, and memristive behavior in other types of nanoscale systems has been largely overlooked. Here, we report direct measurement of memristive behavior of defect states...
Classification rules are the interest of most data miners to summarize the discrimination ability of classes present in data. A classification rule is an assertion, which discriminates the concepts of one class from other classes. The most classification rules mining algorithm aims to providing a single solution where multiple solutions exist. Moreover, it does not guarantee the optimal solution and...
By the expanse of internet stores and products, recommender systems have emerged to increase store attractiveness and develop online customers. Recommender systems are systems which help customers to find product that they want. These systems recommend product to individual customer according to their preferences and interests. Recommender systems use several ways such as collaborative filtering and...
Continuous monitoring of respiratory activity is mandatory in clinical, high risk situations such as ambulatory monitoring, intensive care, stress tests and sleep disorder investigations. Extraction of surrogate respiratory activity from electrocardiogram (ECG), blood pressure (BP) and photoplethysmographic (PPG) signals will potentially eliminate the use of additional sensor intended to record respiration...
Environmental monitoring systems are more pervasive as sensors become smaller, less expensive, and more power-efficient. The ever-increasing volume and variety of realtime data poses significant technical challenges with respect to sensor/system configuration, data quality management, data mining, and data dissemination. The latest version of the Land/Ocean Biochemical Observatory visualization (LOBOviz)...
This work presents a system for knowledge discovery from protein databases, based on an Artificial Immune System. The discovered rules have the advantage of representing comprehensible knowledge to biologist users. This task leads to a very challenging problem since a protein can be assigned multiple classes (functions or Gene Ontology (GO) terms) across several levels of the GO's term hierarchy....
Electric power utilities develop asset management (AM) strategies, based upon their reliability studies, which provide brighter images of the utility company's performance. Failure rate models are highly instrumental in transforming from simple reliability analyses into effective AM strategies.
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