title: Event distributions in online book auctions

authors: Bittner, Sven

subjects: computer science

abstract: Current quantitative evaluations in various research areas for publish/ subscribe systems use artificially created event messages to model the system workload. The assumptions made to create these workloads are rather strong and hardly ever described in detail. This does not allow for a repetition of experiments or comparative evaluations of different approaches by different researches. In this paper, we present an evaluation of the distributions of the values of attributes typically used in online auction scenarios. In particular, we focus on auctions of fiction books. We further show our approach of creating event messages by the help of the gained information. Publishing this information on how to create a typical workload for online auctions should allow for the repetition of experiments and the comparison of different evaluations.

text: Event distributions in online book auctions Current quantitative evaluations in various research areas for publish/ subscribe systems use artificially created event messages to model the system workload. The assumptions made to create these workloads are rather strong and hardly ever described in detail. This does not allow for a repetition of experiments or comparative evaluations of different approaches by different researches. In this paper, we present an evaluation of the distributions of the values of attributes typically used in online auction scenarios. In particular, we focus on auctions of fiction books. We further show our approach of creating event messages by the help of the gained information. Publishing this information on how to create a typical workload for online auctions should allow for the repetition of experiments and the comparison of different evaluations.

year: 2006-02-01

title: Relationships between offenders’ crime locations and different prior activity locations as recorded in Police data

authors: Curtis-Ham, Sophie

abstract: Understanding the relationships between individual offenders’ crime locations and their prior activity locations is important to enable individual level predictions to support crime prevention and investigation strategies. This study examined a wider range of crimes and activity locations than included in previous studies, to determine whether offenders are more likely to commit crime near some types of activity locations than others. Using discrete spatial choice models, we identified relationships between proximity to pre-crime activity locations recorded in a police database (e.g., offenders’ homes, family members’ homes, schools, prior crimes, and other police interactions) and the locations of 17,054 residential burglaries, 10,353 non-residential burglaries, 1,977 commercial robberies, 4,315 personal robberies, and 4,421 extra-familial sex offences in New Zealand. Offenders were generally more likely to commit crime closer to their activity locations than farther away, and closer to those visited more frequently (e.g., home versus family homes) or more likely to impart relevant knowledge about crime opportunities (e.g., prior crimes versus prior victim or witness locations). The observed patterns for different activity locations and crime types broadly support a recently proposed extension to crime pattern theory and illustrate the benefits of differentiating activity location and crime types when examining criminal spatial behaviour. The results have implications for offender risk assessment and management, and geographic profiling in police investigations.

text: Relationships between offenders’ crime locations and different prior activity locations as recorded in Police data Understanding the relationships between individual offenders’ crime locations and their prior activity locations is important to enable individual level predictions to support crime prevention and investigation strategies. This study examined a wider range of crimes and activity locations than included in previous studies, to determine whether offenders are more likely to commit crime near some types of activity locations than others. Using discrete spatial choice models, we identified relationships between proximity to pre-crime activity locations recorded in a police database (e.g., offenders’ homes, family members’ homes, schools, prior crimes, and other police interactions) and the locations of 17,054 residential burglaries, 10,353 non-residential burglaries, 1,977 commercial robberies, 4,315 personal robberies, and 4,421 extra-familial sex offences in New Zealand. Offenders were generally more likely to commit crime closer to their activity locations than farther away, and closer to those visited more frequently (e.g., home versus family homes) or more likely to impart relevant knowledge about crime opportunities (e.g., prior crimes versus prior victim or witness locations). The observed patterns for different activity locations and crime types broadly support a recently proposed extension to crime pattern theory and illustrate the benefits of differentiating activity location and crime types when examining criminal spatial behaviour. The results have implications for offender risk assessment and management, and geographic profiling in police investigations.

year: 2022

title: Ohaaki: A power station on Maori land

authors: Stokes, Evelyn

subjects: Ohaaki Geothermal Power Station

abstract: This paper is about a geothermal power station called Ohaaki, constructed over the period 1982-1989 on Maori land close by Te Ohaaki Marae and the ancestral papakainga of Ngati Tahu. This is a personal account of the impact of this project on Ngati Tahu rather than a history of the construction of the power station.

text: Ohaaki: A power station on Maori land This paper is about a geothermal power station called Ohaaki, constructed over the period 1982-1989 on Maori land close by Te Ohaaki Marae and the ancestral papakainga of Ngati Tahu. This is a personal account of the impact of this project on Ngati Tahu rather than a history of the construction of the power station.

year: 2003