A complete framework for Web mining

With the rapid growing number of WWW users, hidden information becomes ever increasingly valuable. As a consequence of this phenomenon, mining Web data and analysing on-line users' behaviour and their on-line traversal pattern have emerged as a new area of research. Primarily based on the Web servers' log files, the main objective of traversal pattern mining is to discover the frequent patterns in users' browsing paths and behaviors. This paper presents a complete framework for Web mining, allowing users to pre-define physical constraints when analysing complex traversal patterns in order to improve the efficiency of algorithms and offer flexibility in producing the results

A Featherweight Model for Chorded Languages

Chords are a concurrency mechanism of object-oriented languages inspired by the join of the Join-Calculus. We present SCHOOL, the Small Chorded Object-Oriented Language, a featherweight model which aims to capture the essence of the concurrent behaviours of chords. Our model serves as a generalisation of chorded behaviours found in existing experimental languages such as Polyphonic C-sharp. Furthermore, we study the interaction of chords with fields by extending SCHOOL to include fields, resulting in fSCHOOL. Fields are orthogonal to chords in terms of concurrent behaviours. We show that adding fields to SCHOOL does not change its expressiveness by means of an encoding between the two languages.Working Pape

An intuitionistic fuzzy component based appoach for identifying web usage patterns

An intuitionistic fuzzy component based appoach fo

Data warehouses-TOLAP-decision making

Data warehouses (DWH) have been established as the core of decision support systems. On top of a DWH, different applications can be realised with regard to conventional reporting. On line Analytical Processing (OLAP) has reached the maturity as an interactive and explorative way of analysing DWH data. However DWH are mostly organised as snapshot databases. For this reason important tasks like "how many times have products of a specific brand been sold in the "past?" cannot be answered successfully - in order to control the success of reshuffling the product range it is necessary to compare the sales of "old" and "new" products. The same applies in cases where the seasonality aspect for a particular range of products has to be answered. On the other hand, temporal databases allow a valid time to be assigned to data. In this manner, a past state can be reconstructed during retrieval. In this paper, we address the integration of DWH and OLAP with temporal database semantics

Evaluation of the CO2 Storage Capacity in Sandstone Formations from the Southeast Mesohellenic trough (Greece)

This study investigates the capability of the Southeast Mesohellenic Trough (SE MHT) sandstone formations to serve as a potential reservoir for CO2 storage in response to the emerging climate change issues by promoting environmentally friendly mineral sequestration applications. Sandstone samples, for the first time, were evaluated for their petrographic characteristics, mineral chemistry, geochemical properties, as well as their petrophysical and gas adsorption properties through tests. The sandstones were tested and classified into distinct groups. The most promising site to be considered for pilot CO2 storage testing is the Pentalofos Formation locality since its sandstones display specific mineral phases with the proper modal composition to conceivably react with injected CO2, leading to the development of newly formed and stable secondary mineral phases. The gas adsorption results are also more encouraging for sandstones from this sedimentary formation. All the measured UCS (uniaxial compressive strength), Ei (bending stiffness), and ν (Poisson’s ratio) results are above those dictated by international standards to perform CO2 storage practices safely. Furthermore, the specified targeted locality from the Pentalofos Formation holds the geological advantage of being overlaid by an impermeable cap-rock formation, making it suitable for deploying CO2 mineralization practices. The demarcated area could permanently store a calculated amount of ~50 × 105 tons of CO2 within the geological reservoir by reacting with the specified mineral phases, as specified through the proposed petrographic PrP index (potential reactive phases)

A Rapid Detection of Meat Spoilage using FTIR and Neuro-fuzzy systems

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. To address the rapid detection of meat spoilage microorganisms during aerobic storage at chill and abuse temperatures, Fourier transform infrared spectroscopy with the aid of a neuro-fuzzy identification model has been considered in this research. Spectral information was obtained from the surface of beef samples during aerobic storage at various temperatures, while a microbiological analysis had identified the population of Total Viable Counts. The intelligent model constructs its initial rules by clustering while the final fuzzy rule base is determined by competitive learning. Results confirmed the advantage of the proposed scheme against the adaptive neuro-fuzzy inference system and multilayer perceptron in terms of prediction accurac

An Adaptive Neuro-Fuzzy Model for the Detection of Meat Spoilage using Multispectral Images

The use of vision technology for quality testing of food production has the obvious advantage of being able to continuously monitor a production using non-destructive methods thus increasing the quality and minimizing cost. The performance of a multispectral imaging system has been evaluated in monitoring the spoilage of minced beef stored either aerobically or under modified atmosphere packaging (MAP), at different storage temperatures (0, 5, 10, and 15 °C). The detection system explores both qualitative and quantitative information extracted from spectral data with the aid of an advanced neuro-fuzzy identification model. The proposed model constructs its initial rules by clustering while the final fuzzy rule base is determined by competitive learning. Results indicated that multispectral information could be considered as an alternative methodology for the accurate evaluation of meat spoilag