tuberose (polianthus tuberosa) is a commercially important cut flower; but its longevity and quality characteristics are compromised by stress during storage and transportation. thus, it is important to determine the most appropriate preservative solution to best maintained cut flowers. tests were done to examine the effects on of nano-silver (ns) (0, 15, 30 and 45 mg l-1) and sucrose (0, 4 and...

The need for pattern management has become compulsory nowadays due to the spreading of the data mining technology as a result of the information flood. This need has been recognized by both academic and industrial parts resulting in a number of approaches towards efficient pattern management. In this chapter we review the work performed so far in the area of pattern management and outline open ...

This chapter provides an overview of techniques and tools to detect deception on the Internet. A classification of state-of-the-art hypothesis testing and data mining based deception detection methods are presented. A psycho-linguistics based statistical model for deception detection is also described in detail. Passive and active methods for detecting deception at the application and network l...

In this note, we introduce Open DMIX, an open source collection of web services for the mining, integration, and exploration of remote and distributed data. We also describe some preliminary experimental results using Open DMIX. Open DMIX is layered: the top layer provides templated data mining and statistical algorithms, such as those defined by the Predictive Model Markup Language [8]. The mi...

Linked Open Data has been recognized as a valuable source for background information in data mining. However, most data mining tools require features in propositional form, i.e., binary, nominal or numerical features associated with an instance, while Linked Open Data sources are usually graphs by nature. In this paper, we compare different strategies for creating propositional features from Li...

and so aren’t satisfactorily reliable. Moreover, because the Web makes it so easy to take surveys and solicit comments, companies are finding themselves inundated with data from questionnaires and other sources. Handling it all manually would be not only cumbersome but also costly. Thus, devising a computer system that can automatically mine useful information from open answers has become an im...

Linked Open Data presents an opportunity to vastly improve the quality of science in all fields by increasing the availability and usability of the data upon which it is based. In the chemical field, there is a huge amount of information available in the published literature, the vast majority of which is not available in machine-understandable formats. PatentEye, a prototype system for the ext...

A new data mining approach as a short cut method is given for the determination of copolymer composition from mass spectra. Our simplifies spectra by reduction number peaks. The proposed procedure, namely selection peaks, which based on most abundant peak spectrum, can be performed manually or more efficiently using our recently invented Mass-remainder analysis (MARA). considerable MS also calc...

We quantified the wholesale transformation of the boreal landscape by open-pit oil sands mining in Alberta, Canada to evaluate its effect on carbon storage and sequestration. Contrary to claims made in the media, peatland destroyed by open-pit mining will not be restored. Current plans dictate its replacement with upland forest and tailings storage lakes, amounting to the destruction of over 29...

Large programs develop patterns in their implementation and behavior that can be used for defect mining. Previous work used frequent itemset mining to detect such patterns and their violations, which correlate with defects. However, frequent itemset mining gives much more attention to patterns than to the instances of these patterns. We are proposing a more general framework to understand and m...