Using Crowdsourced Data in Location-based Social Networks to Explore Influence Maximization Abstract?Online social networks have gained significant popularity recently. The Location-Based Social Networks (LBSNs) are a special kind of online social networks in which people can share location-embedded information. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation…
Using Crowdsourced Data in Location-based Social Networks to Explore Influence Maximization Abstract? Online social networks have gained significant popularity recently. The problem of influence maximization in online social networks has been extensively studied. However, in prior works, influence propagation in the physical world, which is also an indispensable factor, is not considered. The Location-Based Social…
Using Dependency Structures for Prioritization of Functional Test Suites Abstract?Test case prioritization is the process of ordering the execution of test cases to achieve a certain goal, such as increasing the rate of fault detection. Increasing the rate of fault detection can provide earlier feedback to system developers, improving fault fixing activity and, ultimately,…
Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for credit card fraud detection Abstract-With the growing usage of credit card transactions, financial fraud crimes have also been drastically increased leading to the loss of huge amounts in the finance industry. Having an efficient fraud detection method has become a necessity for all banks in…
Using Sentimental Analysis in Prediction of Stock Market Investment Abstract?AbstractSentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user?s comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects…
VEGAS: Visual influEnce GrAph Summarization on Citation Networks Abstract? VEGAS: Visual influEnce GrAph Summarization on Citation Networks. Visually analyzing citation networks poses challenges to many fields of the data mining research. How can we summarize a large citation graph according to the user?s interest? In particular, how can we illustrate the impact of a highly…
Vehicle Management System Abstract? Abstract: Vehicle Management System can be defineds ‘learning facilitated and supported through the use of information and communications technology’. It can cover a spectrum of activities from the use of technology to support learning as part of a ?blended? approach (a combination of traditional and Vehicle Management System approaches),to learning that…
Versatile Size-l Object Summaries for Relational Keyword Search Abstract? Versatile Size-l Object Summaries for Relational Keyword Search. The Object Summary (OS)is a recently proposed tree structure, which summarizes all data held in a relational database about a data subject. An OS can potentially be < Final Year Projects > very large in size and therefore…
ViDE: A Vision-Based Approach for Deep Web Data Extraction Abstract? Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web pages in this paper). Extracting structured data from deep Web pages is a challenging problem…
Automobile Spare Shop(Android App) Abstract-arge rank time series datasets have alwaysposed a challenge for data analysts. In addition to the time-varying property, each itemat every time point can be a complex object that has multivariate properties, relation properties, or both. In this article, we study rank time series to explore their evolving patterns and the…
Visualizing Rank Time Series of Wikipedia Top-Viewed Pages Abstract– Large rank time series datasets have alwaysposed a challenge for data analysts. In addition to the time-varying property, each itemat every time point can be a complex object that has multivariate properties, relation properties, or both. In this article, we study rank time series to explore…
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