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.

Students who participate in scientific research as undergraduates report gaining many benefits from the experience. However, undergraduate research done independently under a faculty member's guidance or as part of an internship, regardless of its individual benefits, is inherently limited in its overall impact. Faculty members and sponsoring companies have limited time and funding to support undergraduate researchers, and most institutions have available (or have allocated) only enough human and financial resources to involve a small fraction of their undergraduates in such experiences. Many more students can be involved as undergraduate researchers if they do scientific research either collectively or individually as part of a regularly scheduled course. Course-based research experiences have been shown to provide students with many of the same benefits acquired from a mentored summer research experience, assuming that sufficient class time is invested, and several different potential advantages. In order to further explore this issue, the Division on Earth and Life Studies and the Division of Behavioral and Social Sciences and Education organized a convocation meant to examine the efficacy of engaging large numbers of undergraduate students who are enrolled in traditional academic year courses in the life and related sciences in original research, civic engagement around scientific issues, and/or intensive study of research methods and scientific publications at both two- and four-year colleges and universities. Participants explored the benefits and costs of offering students such experiences and the ways that such efforts may both influence and be influenced by issues such as institutional governance, available resources, and professional expectations of faculty. Integrating Discovery-Based Research into the Undergraduate Curriculum summarizes the presentations and discussions from this event.

The simplest all-in-one guide to scientific research, writing, and dissemination. ● Effortless reading with straightforward points and minimal paragraphs. ● Suitable for research novices with an introductory chapter about the research ecosystem and a glossary of research terms. ● Comprehensive guide from starting to sharing a research with the world. ● Includes writing basics of proposals, theses, research articles, and review articles. ● Increases manuscript acceptance and citations. ● Contains convenient checklists for advanced scholars. ● Affordable guidebook for university students. "An easy-to-comprehend guidebook for young researchers." – Assoc. Prof. Ts. Dr. Kesaven Bhubalan

"This book discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner that is useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics"--

Post Genomics Drug Discovery and Research explores and discusses some of the most important topics in post-genomics life and biopharmaceutical sciences. It provides an introduction to the field, outlining examples of many techniques currently used, as well as those still under development, which are important for the research of biopharmaceutical discovery in the post-genomics era. Integrates several developing and cutting-edge technologies and methods like bioinformatics, experimental therapeutics, and molecular recognition Includes discussion on topics such as: computer-aided ligand design; peptide and protein chemistry and synthesis; synthesis of active natural products; and the use of emerging technologies like proteomics, nanotechnology, or bioengineering.

Discovery tools are now becoming more common in the academic library landscape, and more products are now available from vendors. While librarians are advocating and promoting their use by students and faculty, they are also evaluating their searching capabilities, their usefulness, and on-going maintenance requirements. This work is geared to librarians considering the implementation of a discovery tool. As a result, it addresses the selection and implementation of such a tool, its relationship to information literacy and catalog maintenance, usability testing, and assessment. Issues such as database and catalog searching and the quality of searching queries are also addressed. A comprehensive review of the literature serves as a valuable resource. Librarians will appreciate the highly practical nature of the volume as it is enriched by a number of varied case studies. This book was published as a special triple issue of College & Undergraduate Libraries.

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.

A great deal of interest has been generated recently in the isolation, characterization, and biological activity of phytochemicals. Phytochemicals have the potential to enhance pharmaceuticals and drug discovery. As such, there is an urgent need for current research in the global scope of phytochemicals including the chemical and physical characteristics, analytical procedures, biological activity, safety, and industrial applications. The Handbook of Research on Advanced Phytochemicals and Plant-Based Drug Discovery examines the applications of bioactive molecules from a health perspective, examining the pharmacological aspects of medicinal plants, the phytochemical and biological activities of different natural products, and ethnobotany and medicinal properties. Moreover, it presents a novel dietary approach for human disease management. Covering topics such as computer-aided drug design, government regulation, and medicinal plant taxonomy, this major reference work is beneficial to pharmacists, medical practitioners, phytologists, hospital administrators, government officials, faculty and students of higher education, librarians, researchers, and academicians.