One of the key problems in database marketing is the identification and profiling of households most likely to be interested in a particular product or service. Principal component analysis (PCA) of customer background information followed by logistic regression analysis of response behavior is commonly used by database marketers. In this paper, we propose a new approach that uses artificial ne...

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the design is accomplished using a series of machine learning methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of cellular telephones based on profiling customer behavior. Specific...

Focusing on new roles of engineers for technological innovation and internal entrepreneurship, we examined the personality traits of 4876 engineers versus 75,892 non-engineers. Engineers scored higher on Tough-Mindedness and Intrinsic Motivation; but lower on Assertiveness, Conscientiousness, Customer Service Orientation, Emotional Stability, Extraversion, Image Management, Optimism, Visionary ...

Facial expression recognition (anger, sad, happy, disgust, surprise, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression is one of the most powerful and natural means for human beings to show their emotions. It has found its applications in humancomputer interaction (HCI), robotics, border security systems, forensics, mac...

We present a generic framework for event mining in e-business. The framework supports customer profiling, the measurement of market dynamics, the evaluation of Web-Sites, the composition of market knowledge, the design of software-agents based on the context/subtext paradigm in the performing arts, and the deduction of social role structures for information societies. And it generalises to a wi...

Many real-world e-commerce applications require the mining of large volumes of transaction data to extract marketing and sales information. This paper describes the Directed Association Visualization (DAV) system that visually associates product affinities and relationships for large volumes of e-commerce transaction data. DAV maps transaction data items and their relationships to vertices, edg...

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the de&,, ic nrrnm,-,li~h~rl ,,&,a n .am.L~ nf mn.-h;na lm..~:~~ e-. .. ..--..*.*yYYA’“.. UY.“b Y UISLUY “I III-Yllr IxuIY11~ methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of ce...

Many real-world e-commerce applications require the mining of large volumes of transaction data to extract marketing and sales information. This paper describes the Directed Association Visualization (DAV) system that visually associates product affinities and relationships for large volumes of e-commerce transaction data. DAV maps transaction data items and their relationships to vertices, edg...

The top-k query is a common means to shortlist a number of options from a set of alternatives, based on the user’s preferences. Typically, these preferences are expressed as a vector of query weights, defined over the options’ attributes. The query vector implicitly associates each alternative with a numeric score, and thus imposes a ranking among them. The top-k result includes the k options w...

China’s consumer-to-consumer (C2C) electronic market has been growing very rapidly. The largest Chinese online auction company. Eachnet. was purchased by eBay but faced tough competition from a new Chinese online auction company, Taobao. Now Taobao’s market share is twice as large as eBay’s. Why has eBay quickly lost its market share to the newly launched Taobao? What is the nature of this mark...