there are strong relationship and common neural mechanism between working memory, short term storage, executive attention and fluid intelligence.  therefore we can consider these constructs as integrated construct as fluid cognition. to verify this claim, we implemented forward and backward digit and letter spam, visual memory spam. counting spam, stroop, wisconsin card, keep track and cattle i...

The main challenge of mining sequential patterns is the high processing cost of support counting for large amount of candidate patterns. For solving this problem, SPAM algorithm was proposed in SIGKDD’2002, which utilized a depth-first traversal on the search space combined with a vertical bitmap representation to provide efficient support counting. According to its experimental results, SPAM o...

the term ‘spam’ addresses unsolicited emails sent in bulk; therefore, the term‘financial fraud spam’ refers to unwanted bulk emails in which different tricks and techniques areemployed to swindle money from the recipients. estimates show that more than 80% of worldwideemail traffic in 2011 was spam. it should be noted that while the number of daily spam emails in2002 was 2.4 billion, this numbe...

In this article, we propose a spam image clustering approach that uses data mining techniques to study the image attachments of spam emails with the goal to help the investigation of spam clusters or phishing groups. Spam images are first modeled based on their visual features. In particular, the foreground text layout, foreground picture illustrations and background textures are analyzed. Afte...

The term ‘spam’ addresses unsolicited emails sent in bulk; therefore, the term‘financial fraud spam’ refers to unwanted bulk emails in which different tricks and techniques areemployed to swindle money from the recipients. Estimates show that more than 80% of worldwideemail traffic in 2011 was spam. It should be noted that while the number of daily spam emails in2002 was 2.4 billion, this numbe...

An improved e-mail classification method based on Artificial Immune System is proposed in this paper to develop an immune based system by using the immune learning, immune memory in solving complex problems in spam detection. An optimized technique for e-mail classification is accomplished by distinguishing the characteristics of spam and non-spam that is been acquired from trained data set. Th...

This paper presents an extensive empirical evaluation of memory-based learning in the context of anti-spam filtering, a novel cost-sensitive application of text categorization. Unsolicited commercial e-mail, also known as “spam”, floods the mailboxes of users, causing frustration, wasting bandwidth and money, and exposing minors to unsuitable content. Using a recently introduced publicly availa...

This study examined the influence of workload and dual-task performance decrements associated with the SPAM technique. Participants performed the Air Traffic Scenarios Test (ATST), which is a low fidelity air traffic control simulator developed by the Federal Aviation Administration. Performance on the ATST was followed by post-run questionnaires (baseline conditions) or in conjunction with SPA...