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Now showing items 1-9 of 9
A Comprehensive Study On One-way Backscatter Traffic Analysis
(2015-04-27)
Since the occurrence and variety of Distributed Denial of Service (DDoS) has dramatically increased, the discovery of DDoS signatures (rules) become very difficult for current intrusion detection mechanisms. Darknets, which ...
Data Mining in Social Media for Stock Market Prediction
(2012-09-05)
In this thesis, machine learning algorithms are used in NLP to get the public sentiment on individual stocks from social media in order to study its relationship with the stock price change. The NLP approach of sentiment ...
An Investigation of Using Machine Learning with Distribution Based Flow Features for Classifying SSL Encrypted Network Traffic
(2012-08-20)
Encrypted protocols, such as Secure Socket Layer (SSL), are becoming more prevalent because of the growing use of e-commerce, anonymity services, gaming and Peer-to-Peer (P2P) applications such as Skype and Gtalk. The ...
Learning in Non-Stationary Environments
(2013-08-26)
Real-world decision making is challenging due, in part, to changes in the underlying reward structure: the best option last week may be less rewarding today. Determining the best response is even more challenging when ...
Hybrid Tag Recommendation in Collaborative Tagging Systems
(2012-04-20)
The simplicity and flexibility of tagging allows users to collaboratively create large, loosely structured repositories of Web resources. One of its main drawbacks is the need for manual formulation of tags for each posted ...
Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data
(2013-08-16)
Classification under streaming data constraints implies that training must be performed continuously, can only access individual exemplars for a short time after they arrive, must adapt to dynamic behaviour over time, and ...
ADAPTIVE LONG TERM TRACKING AND AUTONOMOUS FOLLOWING USING STEREO-CAMERA OF AN UNMANNED AERIAL VEHICLE WITH COLLISION AVOIDANCE
(2015)
Unmanned aerial vehicles commercially called quadcopters or drones have become
increasingly popular over recent years, delving into wide range of fields from medicine
for providing immediate health care or in agriculture ...
Predicting Political Donations Using Data Driven Lifestyle Profiles Generated from Character N-Gram Analysis of Heterogeneous Online Sources
(2015)
This paper describes an approach for generating multi-dimensional Activities, Interests, and Opinions (AIO) insights from disparate web sources. The method involves identifying psychographic profiles using text analysis ...
Spatiotemporal Pattern Detection in Multi-cell Recordings Using Unsupervised Learning
(2015)
Detection of spatiotemporal patterns have many applications in areas such as computer vision and data mining. Specifically, the analysis and mining of biological data with high dimensionality (e.g. multi-cell recordings, ...