Network intrusion detection has the problems of large amounts data, numerous attributes, and different levels importance for each attribute in detection. However, random forests, results have deviations due to selection attributes. Therefore, aiming at current problems, considering increasing probability essential features being selected, a network model based on three-way selected forest (IDTS...

Ecological restoration is widely practiced as a means of rehabilitating ecosystems and habitats that have been degraded or impaired through human use or other causes. Restoration practices now are confronted by climate change, which has the potential to influence long-term restoration outcomes. Concepts and attributes from the resilience literature can help improve restoration and monitoring ef...

Combining both text-based retrieval and content-based retrieval techniques in building multimedia databases is the ultimate goal of this work. We describe an object-oriented multimedia database which supports such a combination. In supporting content-based image and video retrieval, we focus on spatial properties which is an essential part of any image and video retrieval system. We deal with b...

The work of integrating the components with each other and with the rest of the system is the most important part of the component-based development process. The interaction among components in an assembly is essential to the overall quality of the system. When integrating components into a system assembly, it would be useful to predict how the quality attributes for the whole system will be. I...

Soft drinks are beverages composed of water and other ingredients that provide specific sensorial attributes. Soft drink consumption patterns have recently been changed partially influenced by an increased availability of different types of beverages during the last few years. Consumers' preferences to choose one drink over another are influenced, not only by genetic, psychological and environm...

Obtaining informative answer passages and ranking them appropriately has previously been error prone for complex, non-factoid questions related to action and event occurrences, causes, and spatiotemporal attributes. A fundamental problem that has hampered the efforts to date has been the inability to extract relations of interest that determine the search for relevant answer passages. We report...

Background: Nonmarket stated preferences valuation, especially discrete choice experiments (DCEs), is one of the commonly used techniques in the health sector. The primary purpose of this approach is to help select attributes and attributes-levels that are able to properly describe health care products or services. This study aimed at developing attributes and attributes-levels for basic health...

The face is an important part of the identity of a person. Numerous applications benefit from the recent advances in prediction of face attributes, including biometrics (like age, gender, ethnicity) and accessories (eyeglasses, hat). We study the attributes’ relations to other attributes and to face images and propose prediction models for them. We show that handcrafted features can be as good ...

Real-world data collections are often heterogeneous (represented by a set of mixed attributes data types: numerical, categorical and fuzzy); since most available similarity measures can only be applied to one type of data, it becomes essential to construct an appropriate similarity measure for comparing such complex data. In this paper, a framework of new and unified similarity measures is prop...