Semi-supervised Linear Discriminant Clustering Abstract? Semi-supervised Linear Discriminant Clustering. This paper devises a semi-supervised learning method called semi-supervised linear discriminant clustering (Semi-LDC). The proposed algorithm considers clustering and dimensionality reduction simultaneously by connecting K-means and linear discriminant analysis (LDA). The goal is to find a feature space where the K-means can perform well in the…
Semi-Supervised Linear Discriminant Clustering Abstract?This paper devises a semi-supervised learning method called semi-supervised linear discriminant clustering (Semi-LDC). The proposed algorithm considers clustering and dimensionality reduction simultaneously by connecting K-means and linear discriminant analysis (LDA). The goal is to find a feature space where the K-means can perform well in the new space. To exploit the…
Semi-supervised machine learning approach for DDoS detection Abstract-Even though advanced Machine Learning (ML) techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML-based DDoS detection approaches are under two categories: supervised and unsupervised. Supervised ML approaches for DDoS detection rely on availability of labeled…
Semisupervised Hyperspectral Image Classification Using Small Sample Sizes Abstract-Hyperspectral image classification is a challenging task when only a small number of labeled samples are available due to the difficult, expensive, and time-consuming ground campaigns required to collect the ground-truth information. It is also known that the classification performance is highly dependent on the size of…
Semisupervised Wrapper Choice and Generation for Print-Oriented Documents Abstract? Semisupervised Wrapper Choice and Generation for Print-Oriented Documents. Information extraction from printed documents is still a crucial problem in many interorganizational workflows. Solutions for other application domains, for < Final Year Projects > example, the web, do not fit this peculiar scenario well, as printed documents…
Sensing as a Service: Challenges, Solutions and Future Directions Abstract?Sensors on (or attached to) mobile phones can enable attractive sensing applications in different domains, such as environmental monitoring, social networking, healthcare, transportation, etc. We introduce a new concept, sensing as a service (S2aaS), i.e., < Final Year Projects > providing sensing services using mobile phones…
Sensitivity Analysis on Locations of Energy Storage in Power Systems with Wind Integration Abstract?Abstract The penetration of renewable energy sources, particularly wind energy, into power systems has been rapidly increasing in recent years. However, the integration of wind power has posed many challenges for power system operation.For instance, this type of energy source is relatively…
SentiHealth-Cancer: A sentiment analysis tool to help detecting moodof patients in online social networks Abstract?Abstract Cancer is a critical disease that affects millions of people and families around the world. In2012 about 14.1 million new cases of cancer occurred globally. Because of many reasons like the severityof some cases, the side effects of some treatments…
Sentiment Analyis of Indian Movie Review with Various Feature Selection Techniques Abstract-In the first place, Sentiment analysis and opinion mining is an emerging area of research for analysing web data and capturing the sentiment of the users.In addition,research presents sentiments analysis on Indian movie review corpus using machine learning classifier. In contrast, Bayesian Classifier has…
Sentiment Analyis of Indian Movie Review with Various Feature Selection Techniques AbstractIn the first place, Data Mining Sentiment analysis and opinion mining is an emerging area of research for analysing web data and capturing the sentiment of the users. In addition, research presents sentiments analysis on Indian movie review corpus using machine learning classifier although…
Sentiment Analysis of Social web data: A Review Abstract?Today social networking websites has evolved to become a source of various kind of information.This is because of the nature of these websites on which peoples comments and post their opinions on different types of topics i.e. they express positive or negative sentiments about any product that…
Sentiment Analysis of Twitter Data Abstract? We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity features. (2) We explore the use of a tree kernel to obviate the need for tedious feature engineering. The new features (in conjunction with previously proposed features) and the tree…
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Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data 
A Key-Policy Attribute-Based Temporary Keyword Search Scheme for Secure Cloud Storage