There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

世界経済・社会統計 = World development indicators

萨义德以其独特的双重身份,对西方中心权力话语做了分析,通过对文学作品、演讲演说等文本的解读,将O rie n ta lis m——"东方学",做了三重释义:一门学科、一种思维方式和一种权力话语系统,对东方学权力话语做了系统的批判,同时将东方学放入空间维度对东方学文本做了细致的解读。

萨义德的“Orientalism”释义

Social Network Analysis

Blogs and social networks have recently become a valuable resource for mining sentiments in fields as diverse as customer relationship management, public opinion tracking and text filtering. In fact knowledge obtained from social networks such as Twitter and Facebook has been shown to be extremely valuable to marketing research companies, public opinion organizations and other text mining entities. However, Web texts have been classified as noisy as they represent considerable problems both at the lexical and the syntactic levels. In this research we used a random sample of 3516 tweets to evaluate consumers' sentiment towards well-known brands such as Nokia, T-Mobile, IBM, KLM and DHL. We used an expert-predefined lexicon including around 6800 seed adjectives with known orientation to conduct the analysis. Our results indicate a generally positive consumer sentiment towards several famous brands. By using both a qualitative and quantitative methodology to analyze brands' tweets, this study adds breadth and depth to the debate over attitudes towards cosmopolitan brands.

More than words: Social networks' text mining for consumer brand sentiments

This study investigates the influence of three cognitive and attitudinal factors on gender differences in green purchase behaviour. Using a large sample size (n = 1093), a survey has been developed and administered across Egypt. The findings from the multivariate analysis of variance (MANOVA) confirm the influence of consumers’ ecological knowledge, concern and attitude on gender differences in green purchase behaviour. Consistent with previous studies, this study found that women appeared to be less aware of environmental issues compared with men. However, contrary to other studies conducted in the West, men showed more environmental concern and more positive outlook towards green purchase compared with women. The study discusses how the present findings may help policy makers and marketers alike to fine-tune their environmental and marketing programmes.

https://papers.ssrn.com/sol3/Delivery.cfm/ijc_523.pdf?abstractid=1061905&mirid=1&type=2

Gender differences in Egyptian consumers’ green purchase behaviour: the effects of environmental knowledge, concern and attitude

This study investigates the influence of various cultural values and psychological factors on the green purchase behavior of Egyptian consumers. Using a large sample of 1093 consumers, a conceptual model has been developed. The survey results provide reasonable support for the validity of the proposed model. Specifically, the findings from the structural equation model confirm the influence of the consumers' natural environment orientation, ecological knowledge, and environmental concern on their attitudes towards green purchase. Consumers' attitudes toward green purchase, in turn, are also found to affect their actual green purchase behavior via the mediator role of green purchase intention. However, one of the other important findings suggests that the link between intention and actual purchase is weak. In other words, on a declarative level, more and more consumers in Egypt express their concern over the ecological situation and declare their willingness to contribute somehow to the protection of environment by buying green products. However, in reality this concern may not be manifested consistently. © 2007 Wiley Periodicals, Inc.

A hierarchical analysis of the green consciousness of the Egyptian consumer

This study uses self-organizing maps (SOM) to examine the effect of various psychographic and cognitive factors on green consumption in Kuwait. SOM is a machine learning method that can be used to explore patterns in large and complex datasets for linear and non-linear patterns. The results show that major variables affecting green consumption are related to altruistic values, environmental concern, environmental knowledge, skepticism towards environmental claims, attitudes toward green consumption, and intention to buy green products. The study also shows that SOM models are capable of improving clustering quality while extracting valuable information from multidimensional data.

Shades of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps

This study investigates the influence of various attitudinal and psychographic factors on the green purchase behavior of Egyptian consumers. Using a large sample of 1093 consumers, a survey was developed and administered across Egypt. The findings from the hierarchical multiple regression model confirm the influence of the consumers ecological knowledge, concern, attitudes, altruism, and perceived effectiveness, among other factors, on their intention to purchase green products. Results show that skepticism towards environmental claims is negatively related to consumers intention to buy green products. The study also discusses how the present findings may help policy makers and marketers alike to fine-tune their environmental and marketing programs.

Mohamed M. Mostafa

Papers

More than words: Social networks' text mining for consumer brand sentiments

Gender differences in Egyptian consumers’ green purchase behaviour: the effects of environmental knowledge, concern and attitude

A hierarchical analysis of the green consciousness of the Egyptian consumer

Shades of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps

Antecedents of Egyptian Consumers' Green Purchase Intentions