Semantic security against web application attacks Abstract? Semantic security against web application attacks. Timeout mechanisms are a useful feature for web applications. However, these mechanisms need to be used with care because, if used as-is, they are vulnerable to timing attacks. This paper focuses on internal timing attacks, a particularly dangerous class of timing attacks,…
Semantic Web Service Discovery Using Natural Language Processing Techniques Abstract? the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service discovery. Hence,…
Semantic Web service discovery using natural language processing techniques Abstract? With the proliferation of available Web services, new approaches are needed to search for the most appropriate services matching user requirements. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service…
Semantic-Aware Blocking for Entity Resolution Abstract? A semantic-aware blocking framework for entity resolution (ER). The proposed framework is built using locality-sensitive hashing (LSH) techniques, which efficiently unifies both textual and semantic features into an ER blocking process. In order to understand how similarity metrics may affect the effectiveness of ER blocking, we study the robustness…
Semantics Driven Approach for Knowledge Acquisition From EMRs Abstract?Semantics Driven Approach for Knowledge Acquisition From EMRs. Semantic computing technologies have matured to be applicable to many critical domains such as national security, life sciences, and health care. However, the key to their success is the availability of a rich domain knowledge base. The creation and…
Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware Abstract? Recently, malware has increasingly become a critical threat to embedded systems, while the conventional software solutions, such as antivirus and patches, have not been so successful in defending the ever-evolving and advanced malicious programs. we propose a hard ware enhanced architecture, GuardOL, to perform…
Semi-supervised ensemble clustering based on selected constraint projection Abstract-Traditional cluster ensemble approaches have several limitations. (1) Few make use of prior knowledge provided by experts. (2) It is difficult to achieve good performance in high-dimensional datasets. (3) All of the weight values of the ensemble members are equal, which ignores different contributions from different ensemble…
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…
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…
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 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…