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Register a new userدراسة فعالية خوارزميات اكتشاف المعرفة على قواعد البيانات غرضية التوجه
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Aِl-Baath University أطروحة دكتوراه
Publication date
2017
fields
Mathematics
and research's language is
العربية
Created by
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أدى الاهتمام الكبير في مجال اكتشاف المعرفة في قواعد البيانات العلائقية إلى تطوير خوارزميات رياضية اثبتت فعاليتها في استنباط المعارف بنوعيها الوصفي والتنبؤي . إلا أن التطور الكبير الذي سهدته تقنية المعلومات , والانتشار الواسع لشبكات التواصل الاجتماعي وصفحات الويب المتقدمة , زاد من استخدام أنظمة قواعد البيانات الغرضية.
The great interest in the field of knowledge discovery in relational databases has led to the development of mathematical algorithms that have proven effective in deriving knowledge of both descriptive and predictive types. However, the great development of information technology, and the wide spread of social networks and advanced web pages, increased the use of intent database systems.
References used
بونيه, آلان&فرغلي , علي , 1993 , الذكاء الصنعي واقعه ومستقبله . الطبعة الأولى, عالم المعرفة , الكويت
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Codifying commonsense knowledge in machines is a longstanding goal of artificial intelligence. Recently, much progress toward this goal has been made with automatic knowledge base (KB) construction techniques. However, such techniques focus primarily
on the acquisition of positive (true) KB statements, even though negative (false) statements are often also important for discriminative reasoning over commonsense KBs. As a first step toward the latter, this paper proposes NegatER, a framework that ranks potential negatives in commonsense KBs using a contextual language model (LM). Importantly, as most KBs do not contain negatives, NegatER relies only on the positive knowledge in the LM and does not require ground-truth negative examples. Experiments demonstrate that, compared to multiple contrastive data augmentation approaches, NegatER yields negatives that are more grammatical, coherent, and informative---leading to statistically significant accuracy improvements in a challenging KB completion task and confirming that the positive knowledge in LMs can be re-purposed'' to generate negative knowledge.
Application Of Object Oriented Programing OOP concept and the C++.
Pascal programming language to power system simulation has been
explored. An efficient platform for power system simulation applications
has been proposed. By emulationg a physical
power lap, a generic power
network container has been build, a module. One load flow applications a
ac load flow have been discussed. It is found that the OOP based Pascal
load flow programs are as efficient as their non – OOP counterparts.
The volume of data being generated nowadays is increasing at
phenomenal rate. Extracting useful knowledge from such data
collections is an important and challenging issue. A promising
technique is the rough set approach, a new mathematical method
to data analysis based on classification of objects into similarity
classes, which are indiscernible with respect to some features. This
paper focuses on discovering maximal generalized decision rules
in databases based on a simple or multiple regression, generalized
theory, and decision matrix.
A driving simulator is a combination of hardware and software that enables the user to navigate through a real-time computer-generated virtual driving environment. Driving simulators are very valuable for conducting driving studies that are infeasibl
e or unethical to conduct on the road. For studies that can be conducted in the real world,
driving simulators provide a more cost effective solution and allow a much higher degree of flexibility in terms of changing the conditions of the environment for experimental purposes.
The corner stone when conducting any study on the driving simulator is the construction of a virtual driving environment that serves the purposes of this study. Even though driving environments can considerably vary between different studies, they all share the
presence of common components that exist throughout the environment like roads, traffic signs and other components. The objective of this paper is to present the design of an object-oriented library that facilitates the construction of virtual driving environments when conducting studies on a driving simulator. The proposed library
uses object orientation to hide implementation details from the designer of the environment which results in making the construction of such environments easier and more productive as well as their modification later if needed. The proposed library is based on the Java programming language and on Java 3D technology which makes it
portable and usable on any platform that has an implementation of these two technologies.
The sound is an essential component of multimedia, and due to the needto be used in
many life applications such as television broadcasting andcommunication programs, so it
was necessary for the existence of audio signal processing techniquessuch as
compressing,
improving, and noisereduction.
Data compression process aims to reduce the bit rate used, by doing encoding
information using fewer bits than the original representation for transmitting and storing.
By this process,the unnecessary information is determined and removed, that means it
gives the compressed information for useable compression, which we need as a
fundamental, not the minutest details.
This research aims to study how to process sound and musical signal. It's a process
that consists of a wide range of applications like coding and digital compression for the
effective transport and storage on mobile phones and portable music players, modeling and
reproduction of the sound of musical instruments and music halls and the harmonics of
digital music, editing digital music, and classification of music content, and other things.
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