title: GNUsmail: Open framework for on-line email classification

authors: Carmona-Cejudo, José M.

subjects: computer science

abstract: Real-time classification of massive email data is a challenging task that presents its own particular difficulties. Since email data presents an important temporal component, several problems arise: emails arrive continuously, and the criteria used to classify those emails can change, so the learning algorithms have to be able to deal with concept drift. Our problem is more general than spam detection, which has received much more attention in the literature.
In this paper we present GNUsmail, an open-source extensible framework for email classification, which structure supports incremental and on-line learning. This framework enables the incorporation of algorithms developed by other researchers, such as those included in WEKA and MOA. We evaluate this framework, characterized by two overlapping phases (pre-processing and learning), using the ENRON dataset, and we compare the results achieved by WEKA and MOA algorithms.

text: GNUsmail: Open framework for on-line email classification Real-time classification of massive email data is a challenging task that presents its own particular difficulties. Since email data presents an important temporal component, several problems arise: emails arrive continuously, and the criteria used to classify those emails can change, so the learning algorithms have to be able to deal with concept drift. Our problem is more general than spam detection, which has received much more attention in the literature.
In this paper we present GNUsmail, an open-source extensible framework for email classification, which structure supports incremental and on-line learning. This framework enables the incorporation of algorithms developed by other researchers, such as those included in WEKA and MOA. We evaluate this framework, characterized by two overlapping phases (pre-processing and learning), using the ENRON dataset, and we compare the results achieved by WEKA and MOA algorithms.

year: 2011

title: Biofibre production from chicken feather

authors: Tseng, Fan-Chen Jeanie

subjects: feather

abstract: The global poultry industry generates at least 2 million tonnes of chicken feather every year. Feather fibre has potential as  reinforcement for polymer composites with light-weight, thermal insulation and acoustic dampening properties. This study aimed to develop a process to produce clean fibre recovered from chicken feather. Raw feather was decontaminated by 0.15% sodium hypochlorite in 25 L water at pH 10.0 for two 30 min stages and cleaned by 0.15% hydrogen peroxide in 25 L water for three 30 min stages.  Cleaned feather was comminuted in 300 L water using a centrifugal pump at 30 Hz impeller speed on full recycle for 4 h. Rachis and partially cut feather were removed using a 5 mm filter and fibre was recovered using a 1 mm filter. Wet fibre was dried in an air-forced oven at 70°C. Morphological studies revealed fibre surface remained intact after the treatment process.

text: Biofibre production from chicken feather The global poultry industry generates at least 2 million tonnes of chicken feather every year. Feather fibre has potential as  reinforcement for polymer composites with light-weight, thermal insulation and acoustic dampening properties. This study aimed to develop a process to produce clean fibre recovered from chicken feather. Raw feather was decontaminated by 0.15% sodium hypochlorite in 25 L water at pH 10.0 for two 30 min stages and cleaned by 0.15% hydrogen peroxide in 25 L water for three 30 min stages.  Cleaned feather was comminuted in 300 L water using a centrifugal pump at 30 Hz impeller speed on full recycle for 4 h. Rachis and partially cut feather were removed using a 5 mm filter and fibre was recovered using a 1 mm filter. Wet fibre was dried in an air-forced oven at 70°C. Morphological studies revealed fibre surface remained intact after the treatment process.

year: 2011

title: What a difference a default setting makes

authors: Keegan, Te Taka Adrian Gregory

subjects: computer science

abstract: This paper examines the effect of the default interface language on the usage of a bilingual digital library. In 2005 the default interface language of a bilingual digital library was alternated on a monthly basis between Māori and English. A comprehensive transaction log analysis over this period reveals that not only did usage in a particular language increase when the default interface language was set to that language but that the way the interface was used, in both languages, was quite different depending on the default language.

text: What a difference a default setting makes This paper examines the effect of the default interface language on the usage of a bilingual digital library. In 2005 the default interface language of a bilingual digital library was alternated on a monthly basis between Māori and English. A comprehensive transaction log analysis over this period reveals that not only did usage in a particular language increase when the default interface language was set to that language but that the way the interface was used, in both languages, was quite different depending on the default language.

year: 2008