Research paper of data mining
The theory of multicovariances of events is indispensable in the study of the classes of Gibbs and anti-Gibbs eventological distributions that associate probability with the entropy, information and value of events; as well as in the analysis and solution of the variational problems of the eventological information theory, in which they look for the equilibrium eventological distributions of the sets of events, providing an extreme of entropy or relative entropy under various kinds of restrictions on certain subsets of events.
In addition, the eventological multicovariance theory is effectively used in numerous eventology applications for modeling humanitarian and socioeconomic systems. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects.
Multicovariances of events. The RAMARS is built upon the combination of state-of-the-art machine learning and regression techniques, comprising of random forest algorithm, RReliefF, and multivariate adaptive regression splines. Furthermore, the RAMARS has been applied to two cyclonic cases, hurricane Sandy in , and cyclone Mahasen in , showing a very good capability to reproduce the structure and intensity of the cyclone fields.
The RAMARS is highly flexible, because of its four processing components, making it extremely suitable for use to other passive microwave imagers in the global precipitation measurement GPM constellation. Scope International Journal of Artificial Intelligence and Soft Computing IJAISC is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and Scope International Journal of Artificial Intelligence and Soft Computing IJAISC is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing.
The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Soft Computing, Artificial Intelligence and Applications.
Recent advances in storage, hardware, information technology, communication, and networking have resulted in increasingly large and complex heterogeneous data. This has powered the demand to extract useful and actionable insights from This has powered the demand to extract useful and actionable insights from data in an automatic, reliable and scalable way.
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Recently there is a surge of research activities devoted to theoretical development of scalable and robust learning models on deep neural networks, neurodynamics, combinatorial optimization techniques. This special issue aims to present latest theoretical and technical advancements in the broad area of neural networks and learning systems for data analysis.
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With the advent and rising usage of Internet of Things IoT ecosystems , there is a consequent, parallel rise in opportunities where technology can find its place to improve a number of human conditions. However, this is nothing new-we However, this is nothing new-we have been perfecting the usage of tools to aid our daily living throughout history.go to site
Data Mining: Research Papers | Seminar Topics | IEEE
The true evolution lies in the interaction between us and the tools we create. Tools are now smart devices, yielding an opportunity where human-device interaction is giving us the very knowledge on how to improve that particular synthesis. From improving our fitness to detecting bradycardia and response of traumatic brain injury patient, we have come to a point where we are able to gain actionable insight into a lot of aspects of our health and condition. This creates a certain autonomy in understanding the unique make-up of every single person, in addition to yielding information that can be used by health practitioners to help in diagnosis, determination of medical approach and right recovery and follow-up methods.
This paper takes a deep dive into exemplary setup of IoT platform and BDA framework necessary to support the improvement of human condition. Our SmartLeg prosthetic device integrates advanced prosthetic and robotic technology with the state-of-the-art machine learning algorithms capable of adapting the working of the prosthesis to the optimal gait and power consumption patterns, which provide means to customize the device to a particular user.
Artificial Intelligence. Lateral branching plays an important role in the elaboration of adult plants architecture.
International Journal of Data Mining and Bioinformatics
Herein, we adopted a modified AFLP approach combined with a degenerate primer amplification to identify and isolate in the underinvestigated Herein, we adopted a modified AFLP approach combined with a degenerate primer amplification to identify and isolate in the underinvestigated ornamental species element of the MAX2 gene More Axillary Branches , which acts inhibition signaling pathway. A specific gene fragment was cloned and sequenced from nineteen H.
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The comparative analysis revealed a high conservation of DNA sequences among cultivars and wild species sexually compatible with H. The cloned fragment is a likely candidate gene to be validated for association with phenotype to release a gene marker" for the compact habit trait. With fast intensification of existing multimedia documents and mounting demand for information indexing and retrieval, much endeavor has been done on extracting the text from images and videos.
The prime intention of the projected system The prime intention of the projected system is to spot and haul out the scene text from video. Extracting the scene text from video is demanding due to complex background, varying font size, different style, lower resolution and blurring, position, viewing angle and so on. In this paper we put forward a hybrid method where the two most well-liked text extraction techniques i.
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Initially the video is split into frames and key frames obtained. Text region indicator TRI is being developed to compute the text prevailing confidence and candidate region by performing binarization. Text is grouped by constructing the minimum spanning tree with the use of bounding box distance.
Chaos is given to us in our past experience and our future chance. We are doomed to live in a world of chaos.
After all, we have to survive. Chaos is given to us besides our will and entices us with two robes. This is either past experience or future chance. We perceive, feel, and recognize chaos in our We perceive, feel, and recognize chaos in our past experience and our future chance. Little by little, we began to realize that the tools to survive in a world of chaos could be only our past experience and our future chance.
Both the experience and the chance are generated by chaos, they are both chaotic. The chaotic state of the chance, we used to call randomness. But the chaotic state of the experience, we have not yet managed to call a stable philosophy word. So the chaotic state of experience is the experience.