Advanced Metaheuristic Methods In Big Data Retrieval And Analytics


Advanced Metaheuristic Methods In Big Data Retrieval And Analytics
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Advanced Metaheuristic Methods In Big Data Retrieval And Analytics


Advanced Metaheuristic Methods In Big Data Retrieval And Analytics
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Author : Bouarara, Hadj Ahmed
language : en
Publisher: IGI Global
Release Date : 2018-11-02

Advanced Metaheuristic Methods In Big Data Retrieval And Analytics written by Bouarara, Hadj Ahmed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-02 with Computers categories.


The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data. Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.



Big Data Analytics Methods


Big Data Analytics Methods
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Author : Peter Ghavami
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-12-16

Big Data Analytics Methods written by Peter Ghavami and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Business & Economics categories.


Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.



Developing A Keyword Extractor And Document Classifier Emerging Research And Opportunities


Developing A Keyword Extractor And Document Classifier Emerging Research And Opportunities
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Author : Paul, Dimple Valayil
language : en
Publisher: IGI Global
Release Date : 2021-01-08

Developing A Keyword Extractor And Document Classifier Emerging Research And Opportunities written by Paul, Dimple Valayil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-08 with Computers categories.


The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.



Applications Of Flower Pollination Algorithm And Its Variants


Applications Of Flower Pollination Algorithm And Its Variants
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2021-03-17

Applications Of Flower Pollination Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Technology & Engineering categories.


This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are extensively implemented to solve a variety of real-world optimization problems due to its adaptability and robustness. FPA is one of the most successful swarm intelligence procedures developed in 2012 and extensively used in various optimization tasks for more than a decade. The mathematical model of FPA is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, FPA has attracted attention of researchers, who are working to find the optimal solutions in variety of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization, and linear/nonlinear optimization problems. Along with the traditional bat algorithm, the enhanced versions of FPA are also considered to solve a variety of optimization problems in science, engineering, and medical applications.



Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms


Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms
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Author : Milutinovi?, Veljko
language : en
Publisher: IGI Global
Release Date : 2022-03-11

Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms written by Milutinovi?, Veljko and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.


Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.



Applications Of Bat Algorithm And Its Variants


Applications Of Bat Algorithm And Its Variants
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2020-06-09

Applications Of Bat Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Technology & Engineering categories.


This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA’s mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.



Research Anthology On Machine Learning Techniques Methods And Applications


Research Anthology On Machine Learning Techniques Methods And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-05-13

Research Anthology On Machine Learning Techniques Methods And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-13 with Computers categories.


Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.



Computational Intelligence In The Internet Of Things


Computational Intelligence In The Internet Of Things
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Author : Purnomo, Hindriyanto Dwi
language : en
Publisher: IGI Global
Release Date : 2019-03-15

Computational Intelligence In The Internet Of Things written by Purnomo, Hindriyanto Dwi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.


In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.



Multi Criteria Decision Making Models For Website Evaluation


Multi Criteria Decision Making Models For Website Evaluation
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Author : Vatansever, Kemal
language : en
Publisher: IGI Global
Release Date : 2019-05-15

Multi Criteria Decision Making Models For Website Evaluation written by Vatansever, Kemal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with Computers categories.


With almost every business application process being linked with a web portal, the website has become an integral part of any organization. Satisfying the end user’s needs is one of the key principles of designing an effective website. Because there are different users for any given website, there are different criteria that users want. Thus, evaluating a website is a multi-criteria decision-making problem in which the decision maker’s opinion should be considered for ranking the website. Multi-Criteria Decision-Making Models for Website Evaluation is a critical scholarly resource that covers the strategies needed to evaluate the navigability and efficacy of websites as promotional platforms for their companies. Featuring a wide range of topics including linguistic modelling, e-services, and site quality, this book is ideal for managers, executives, website designers, graphic artists, specialists, consultants, educationalists, researchers, and students.



Handbook Of Research On Human Computer Interfaces And New Modes Of Interactivity


Handbook Of Research On Human Computer Interfaces And New Modes Of Interactivity
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Author : Blashki, Katherine
language : en
Publisher: IGI Global
Release Date : 2019-05-31

Handbook Of Research On Human Computer Interfaces And New Modes Of Interactivity written by Blashki, Katherine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with Computers categories.


Due to its versatility and accessibility, individuals all around the world routinely use various forms of technology to interact with one another. Over the years, the design and development of technologies and interfaces have increasingly aimed to improve the human-computer interactive experience in unimaginable ways. The Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity is a collection of innovative research on the methods and applications of interactive technologies in the modern age. Highlighting topics including digital environments, sensory applications, and transmedia applications, this book is ideally designed for academicians, researchers, HCI developers, programmers, IT consultants, and media specialists seeking current research on the design, application, and advancement of different media technologies and interfaces that can support interaction across a wide range of users.