This paper introduced a new approach to social science modeling in which the participants themselves are motivated to uncover the correlates of some human behavior outcome, such as homeowner electricity usage or body mass index. In both cases participants successfully uncovered at least one statistically significant predictor of the outcome variable. For the body mass […]
Archives for April 2014
Complete price differentiation under Complete information
Pricing is important for the design, operation, and management of communication networks. Pricing has been used with two different meanings in the area of communication networks. One is the “optimization-oriented” pricing for network resource allocation: it is made popular by Kelly’s seminal work on network congestion control. The Transmission Control Protocol (TCP) has been successfully […]
Privacy preserving profile matching and Secure communication
Most previous private matching work are based on the secure multi-party computation (SMC). There are two mainstreams of approaches to solve the private profile-based friending problem. The first category is based on private set intersection (PSI) and private cardinality of set intersection (PCSI). Early work in this category mainly address the private set operation problem […]
Online Anomaly Detection For Practical Scenario
Outlier detection methods have been proposed for Practical Scenario. These existing approaches can be divided into three categories: distribution (statistical), distance and density-based methods. Statistical approaches assume that the data follows some standard or predetermined distributions, and this type of approach aims to find the outliers which deviate form such distributions. Most distribution models are […]
A Hybrid of Surface Patterns Parsing and Classification
Their representation, abstraction, execution, monitoring, and model-checking. In general, our approach does not address the challenges these studies pursue but would support such studies by helping identify the relevant events and temporal constraints. A contract monitoring facility. Their approach involves the Business Contract Language (BCL) as a way to represent and monitor contracts. Their focus […]
Distributed file systems are key building blocks for cloud computing applications
Cloud Computing (or cloud for short) is a compelling technology. In clouds, clients can dynamically allocate their resources on-demand without sophisticated deployment and management of resources. Key enabling technologies for clouds include the Map Reduce programming paradigm, distributed file systems, virtualization and so forth. These techniques emphasize scalability, so clouds can be large in scale, […]
The Sequence of Operations In Credit Card Transaction Processing
They proposed credit card fraud detection with a neural network. They have built detection system, which is trained on a large sample of labeled credit card account transactions. These transactions contain example fraud cases due to lost cards, stolen cards, application fraud, counterfeit fraud, mail-order fraud, and non received issue (NRI) fraud. suggest a credit […]
Learning with attributes as label embedding
The image classification problem: given an image, we wish to annotate it with one (or multiple) class label(s) describing its visual content. Image classification is a prediction task where the goal is to learn from labeled data a function : The maps an input x in the space of images to an output in the […]