Showing 37–48 of 776 results
A Novel Burst-based Text Representation Model for Scalable Event Detection Abstract? A Novel Burst-based Text Representation Model for Scalable Event Detection. Traditional Clustering is a powerful technique for revealing the “hot” topics among documents. However, it’s hard to discover the new type events coming out gradually. In this paper, we propose a novel model for…
A Novel Continuous Blood Pressure Estimation Approach Based on Data M ining Techniques Abstract-Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for unobtrusive BP measurement. However, the accuracy of this approach must be improved for it to be viable for a wide range of applications. This study proposes a…
A Novel Cost-Based Model for Data Repairing Abstract? Integrity constraint based data repairing is an iterative process consisting of two parts: detect and group errors that violate given integrity constraints (ICs); and modify values inside each group such that the modified database satisfies those ICs. However, most existing automatic solutions treat the process of detecting…
A Novel Data Mining Approach for Soil Classification Abstract? Decision tree is a well known approach for classification in data mining. C4.5 and Classification and Regression Trees (CART) are two widelv used decision tree algorithms for classification. The main? drawback of C4.5 algorithm is that, it is biased towards attributes with more values while CART…
A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin Abstract? A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin. A novel data mining method was developed to gauge the experience of the drug Sitagliptin trade name Januvia by patients with diabetes mellitus type 2. < Final Year...
A Novel Internet of Things-centric Framework to Mine Malicious Frequent Patterns Abstract– There are a number of research challenges associated with Internet of Things (IoT) security, and one of these challenges is to design novel frameworks to mine malicious frequent patterns for identifying misuse and detecting anomalies without incurring high computational costs (e.g. due to…
A Novel Method for Calculating Service Reputation Abstract? A Novel Method for Calculating Service Reputation. Owing to their rapid development, services are increasing rapidly in quantity. The consequence is that there are so many services that share the same or similar functions. Therefore, < Final Year Projects > it is important to select a credible…
A novel Method to access QA In EducationEnvironment Abstract? A novel Method to access QA In EducationEnvironment. In this paper, a novel access method with LS-code in multicarrier code division multiple access (MC-CDMA) system is proposed, called MC-LS-CDMA scheme. The theoretical analysis and the simulation results show that by using the LS-code access method proposed…
A novel model for credit card fraud detection using Artificial Immune Systems Abstract-The amount of online transactions is growing these days to a large number. A big portion of these transactions contains credit card transactions. The growth of online fraud, on the other hand, is notable, which is generally a result of ease of access…
A Novel Recommendation Model Regularized with User Trust and Item Ratings Abstract?We propose Trust SVD, a trust-based matrix factorization technique for recommendations. TrustSVD integrates multiple information sources into the recommendation model in order to reduce the data sparsity and cold start problems and their degradation of recommendation performance. < final year projects > [numbers_sections number=”1″…
A Novel Recommendation Model Regularized with User Trust and Item Ratings Abstract? A Novel Recommendation Model Regularized with User Trust and Item Ratings. TrustSVD, a trust-based matrix factorization technique for recommendations. TrustSVD integrates multiple information sources into the recommendation model in order to reduce the data sparsity and cold start problems and their degradation of…
A P2P-Botnet Detection Model and Algorithms Based on Network Streams Analysis Abstract?A P2P-Botnet Detection Model and Algorithms Based on Network Streams Analysis. Aimed at the situation that it is difficult to detect the peer-to-peer (P2P) botnet, < Final Year Projects > we provide a new method for detection based on the analysis network streams. Firstly,…
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