Missing Pieces

July/August 2014

IEEE Intelligent Systems magazine cover

An Adaptive Fusion Algorithm for Spam Detection

Spam detection has become a critical component in various online systems such as email services, advertising engines, social media sites, and so on. Here, the authors use email services as an example, and present an adaptive fusion algorithm for spam detection (AFSD), which is a general, content-based approach and can be applied to nonemail spam detection tasks with little additional effort. The proposed algorithm uses n-grams of nontokenized text strings to represent an email, introduces a link function to convert the prediction scores of online learners to become more comparable, trains the online learners in a mistake-driven manner via thick thresholding to obtain highly competitive online learners, and designs update rules to adaptively integrate the online learners to capture different aspects of spams. The prediction performance of AFSD is studied on five public competition datasets and on one industry dataset, with the algorithm achieving significantly better results than several state-of-the-art approaches, including the champion solutions of the corresponding competitions. Read full article (login required) »

About IEEE Intelligent Systems

IEEE Intelligent Systems' peer-reviewed, cutting-edge articles cover the theory and application of systems that perceive, reason, learn, and act intelligently. It serves many different professionals in a broad range of fields.

Articles from IEEE Intelligent Systems

Educational Data Mining: An Advance for Intelligent Systems in Education

Educational Data Mining: An Advance for Intelligent Systems in Education

Educational data mining methods have been successful at modeling a range of phenomena relevant to student learning in online intelligent systems. Here, the author considers the current state of the field, outlining recent strides and remaining challenges. Read full article »

Myths of Automation, Part 2: Some Very Human Consequences

Myths of Automation, Part 2: Some Very Human Consequences

In a previous essay, the myths of automation were described by reference to "deadly sins." Here, a case study takes the word "deadly" quite literally. This article relies on material from an Army Research Laboratory (ARL) review of Patriot missile fratricide incidents. It should be noted, however, that the example recounted here is not a singularity. Read full article »

Announcements

AI's 10 to Watch

AI's 10 to Watch

Every two years, IEEE Intelligent Systems acknowledges and celebrates 10 young stars in the field of AI as "AI's 10 to Watch." These accomplished researchers have all completed their doctoral work in the past five years. Despite being relatively junior in their career, each one has made impressive research contributions and had an impact in the literature — and in some cases, in real-world applications as well. Read More »