To date, techniques to counter cyber-attacks have predominantly been reactive; they focus on monitoring network traffic, detecting anomalies and cyber-attack traffic patterns, and, a posteriori, combating the cyber-attacks and mitigating their effects. Contrary to such approaches, we advocate proactively detecting and identifying botnets prior to their being used as part of a cyber-attack [12]....

Emotional illiteracy exists in current e-learning environment, which will decay learning enthusiasm and productivity, and now gets more attentions in recent researches. Inspired by affective computing and active listening strategy, in this paper, a research and application framework of recognizing emotion based on textual interaction is presented first. Second, an emotion category model for e-l...

This short paper estimates the state and local fiscal benefits of the Nurse Family Partnership (NFP) program. NFP provides nurse home visiting services to low-income first-time mothers. In addition to social benefits, NFP provides state and local fiscal benefits by reducing costs of social services, welfare, and crime, and increasing tax receipts due to increased earnings of mothers and former ...

The application of data mining algorithms requires the use of powerful software tools. As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. This paper present the basic data mining techniques i.e., naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 for classifying in medical databases. The goal o...

This paper implements the real-valued negative selection with variable-sized detectors (V-Detectors) for projecting the right decision with respect to crude oil price. The Brent crude oil data is retrieved from US department of energy. Using varying radius values of the V-Detector, comparison in terms of detection rate and false alarm rate, with support vector machine, naïve bayes, multi-layer ...

In supervised learning, classifiers range from simpler, more interpretable and generally less accurate ones (e.g., CART, C4.5, J48) to complex, neural networks, SVM). this tradeoff between interpretability accuracy, we propose a new classifier based on association rules, that is say, both easy interpret leading relevant accuracy. To illustrate proposal, its performance compared other widely use...

s Accepted or Presented since last Annual Report Prediction of MortalitySlaughter G, Kurtz Z, desJardins M, Hu PF, Mackenzie C, Stansbury L, Stein DM.2012 IEEE Biomedical Circuits & Systems conference, Nov 28-30, Taiwan Abstract— Real-time patient monitoring data collected over the course of trauma care are often large inquantities and require systematic representation that can comb...