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EBookClubs

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Book Constructing Self Discovery Learning Spaces Online  Scaffolding and Decision Making Technologies

Download or read book Constructing Self Discovery Learning Spaces Online Scaffolding and Decision Making Technologies written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2011-11-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an increasing amount of information is made available online, the assumption is that people who visit Web sites will be able to strategize their learning to optimize access to this information. Constructing Self-Discovery Learning Spaces Online: Scaffolding and Decision Making Technologies raises awareness of the strategies supporting self-driven learner efficacy on a number of site types. This book reflects on existing literature about self-discovery learning and what learners need in terms of scaffolding to help them make the right decisions, assess their own level of learning, vet information strategically, collaborate with other learners, and build their own skill sets.

Book The World Book Encyclopedia

Download or read book The World Book Encyclopedia written by and published by . This book was released on 2002 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.

Book Knowledge Discovery in Databases  PKDD 2006

Download or read book Knowledge Discovery in Databases PKDD 2006 written by Johannes Fürnkranz and published by Springer. This book was released on 2006-09-21 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. The book presents 36 revised full papers and 26 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers offer a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Book Machine Learning and Knowledge Discovery in Databases

Download or read book Machine Learning and Knowledge Discovery in Databases written by Walter Daelemans and published by Springer. This book was released on 2008-08-17 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Book Machine Learning and Knowledge Discovery in Databases  Research Track

Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Danai Koutra and published by Springer Nature. This book was released on 2023-09-16 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Book Discovering the Decisions within Your Business Processes using IBM Blueworks Live

Download or read book Discovering the Decisions within Your Business Processes using IBM Blueworks Live written by Margaret Thorpe and published by IBM Redbooks. This book was released on 2014-01-30 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's competitive, always-on global marketplace, businesses need to be able to make better decisions more quickly. And they need to be able to change those decisions immediately in order to adapt to this increasingly dynamic business environment. Whether it is a regulatory change in your industry, a new product introduction by a competitor that your organization needs to react to, or a new market opportunity that you want to quickly capture by changing your product pricing. Decisions like these lie at the heart of your organization's key business processes. In this IBM® RedpaperTM publication, we explore the benefits of identifying and documenting decisions within the context of your business processes. We describe a straightforward approach for doing this by using a business process and decision discovery tool called IBM Blueworks LiveTM, and we apply these techniques to a fictitious example from the auto insurance industry to help you better understand the concepts. This paper was written with a non-technical audience in mind. It is intended to help business users, subject matter experts, business analysts, and business managers get started discovering and documenting the decisions that are key to their company's business operations.

Book Innovative Applications of Knowledge Discovery and Information Resources Management

Download or read book Innovative Applications of Knowledge Discovery and Information Resources Management written by Swayze, Susan and published by IGI Global. This book was released on 2018-06-01 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements have become an integral part of life, impacting the way we work, communicate, make decisions, learn, and play. As technology continually progresses, humans are being outpaced by its capabilities, and it is important for businesses, organizations, and individuals to understand how to optimize data and to implement new methods for more efficient knowledge discovery and information management and retrieval. Innovative Applications of Knowledge Discovery and Information Resources Management offers in-depth coverage on the pervasiveness of technological change with a collection of material on topics such as the impact of permeable work-life boundaries, burnout and turnover, big data usage, and computer-based learning. It proves a worthy source for academicians, practitioners, IT leaders, IT professionals, and advanced-level students interested in examining the ways in which technology is changing the world.

Book The Science and Business of Drug Discovery

Download or read book The Science and Business of Drug Discovery written by Edward D. Zanders and published by Springer Nature. This book was released on 2020-11-09 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Science and Business of Drug Discovery is written for those who want to learn about the biopharmaceutical industry and its products whatever their level of technical knowledge. Its aim is to demystify the jargon used in drug development, but in a way that avoids over simplification and the resulting loss of key information. Each of the twenty chapters is illustrated with figures and tables which clarify some of the more technical points being made. Also included is a drug discovery case history which draws the relevant material together into a single chapter. In recognizing that it is difficult to navigate through the many external resources dealing with drug development, the book has been written to guide the reader towards the most appropriate information sources, including those listed in the two appendices. The following topics are covered: Different types of drugs: from small molecules to stem cells Background to chemistry of small and large molecules Historical background to drug discovery, pharmacology and biotechnology The drug discovery pipeline: from target discovery to marketed medicine Commercial aspects of drug discovery Challenges to the biopharmaceutical industry and its responses Material of specific interest to technology transfer executives, recruiters and pharmaceutical translators

Book Sentiment Analysis and Knowledge Discovery in Contemporary Business

Download or read book Sentiment Analysis and Knowledge Discovery in Contemporary Business written by Rajput, Dharmendra Singh and published by IGI Global. This book was released on 2018-08-31 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

Book The discovery of the unknown planet  The ocean

Download or read book The discovery of the unknown planet The ocean written by Paolo Favali and published by Frontiers Media SA. This book was released on 2023-07-24 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Discovering Online Resources Across the Humanities

Download or read book Discovering Online Resources Across the Humanities written by Paul Miller and published by . This book was released on 1997 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Privileged Scaffolds in Drug Discovery

Download or read book Privileged Scaffolds in Drug Discovery written by Bin Yu and published by Elsevier. This book was released on 2023-07-19 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privileged Scaffolds in Drug Discovery is the most complete and up-to-date work in the area. Covering a wide range of privileged structures, it is a perfect reference for scientists involved in targeted drug development. The editors recruited epserts from several prestigious Chinese institutions to cover the areas of antiviral drugs, chalcone, pyrimidine, (benz)imidazoles, natural product-derived privileged scaffolds, N-Sulfonyl carboxamides, kinase inhibitors, antitumor molecules, antineurodegenerative drugs, triazoles, oxazolidinone, indole and indoline scaffolds, tigliane diterpenoids, peptide and peptide-based drugs, quassinoids, and others including pseudonatural products, macrocycles, stable peptides and peptidomimetics. The book also explores scaffolds in drug molecules approved in recent years. Privileged Scaffolds in Drug Discovery is a complete reference for researchers in drug discovery and organic synthesis, in academic and corporate settings, who are investigating privileged structures upon which to base new drugs. Researchers in medicinal chemistry and chemical biology will also find the contents of this book valuable. Provides wide coverage of privileged scaffolds in new drug discovery Includes complex and diverse natural product scaffolds Covers applications to peptides and peptide-based drugs

Book Kiplinger s Personal Finance

Download or read book Kiplinger s Personal Finance written by and published by . This book was released on 1998-06 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most trustworthy source of information available today on savings and investments, taxes, money management, home ownership and many other personal finance topics.

Book Machine Learning and Knowledge Discovery in Databases  Research Track

Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Nuria Oliver and published by Springer Nature. This book was released on 2021-09-09 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Book Internet Science

    Book Details:
  • Author : Svetlana S. Bodrunova
  • Publisher : Springer
  • Release : 2018-10-17
  • ISBN : 3030014371
  • Pages : 313 pages

Download or read book Internet Science written by Svetlana S. Bodrunova and published by Springer. This book was released on 2018-10-17 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Internet Science held in St. Petersburg, Russia, in October 2018. The 23 papers presented were carefully reviewed and selected for inclusion in this volume. They were organized in topical sections named: risks on the Internet: detecting harmful content and discussing regulation; methodologies for studies of online audiences; and online media and public issues.

Book Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Download or read book Machine Learning and Principles and Practice of Knowledge Discovery in Databases written by Irena Koprinska and published by Springer Nature. This book was released on 2023-01-30 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

Book Advances in Knowledge Discovery and Data Mining

Download or read book Advances in Knowledge Discovery and Data Mining written by Qiang Yang and published by Springer. This book was released on 2019-04-03 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.