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This book constitutes the revised selected papers of the 8th International Workshop on Algorithms and Computation, WALCOM 2014, held in Chennai, India, in February 2014. The 29 full papers presented together with 3 invited talks were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on computational geometry, algorithms and approximations, distributed computing and networks, graph algorithms, complexity and bounds, and graph embeddings and drawings.
This book explores ways in which systems of local knowledge, culture, language, and place are foundational for STEM learning in Indigenous communities. It is part of a two-volume set that addresses a growing recognition that interdisciplinary, cross-cultural and cross-hybrid learning is needed to foster scientific and cultural understandings and move STEM learning toward more just and sustainable futures for all learners. Themes of learning from elders, through practice and place-based experiences are found across cultures. Each chapter brings a uniquely Indigenous point of view to the educational transformation efforts taking place in these distinct contexts. In the second section the chapters use authentic research stories to explain many ways in which regular disciplinary policies and practices can impact Indigenous students’ participation in STEM classrooms and careers. These authors go on to discuss ways to engage learners in STEM activities that are interconnected with the contexts of their lives.
A work of creative nonfiction inspired by the true story of two South Dakota teenagers, Mark St. Pierre’s Of Uncommon Birth draws upon extensive interviews and exhaustive research in military archives to present a harrowing story of two young men—one white, one Indian—caught in the vortex of the Vietnam War. Dale, a young middle-class white American from South Dakota, joins the army during the Vietnam War and dreams of serving his country. Frank, a young Lakota Indian, joins the army in an effort to flee the seemingly inescapable circumstances of his life and to follow his people’s warrior tradition. Mark St. Pierre intimately weaves together the lives of these two men from different worlds, as each struggles with issues of loyalty, responsibility, sacrifice, and personal identity through his experiences in Vietnam. Of Uncommon Birth presents the ironic story of an American Indian soldier who lets himself become stereotyped as the Native “good luck charm,” even if the brave Indian scout stereotype carries with it the smell of death.
This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work. This is an open access book.
This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.
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This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections named: Similarity Search and Retrieval; The Curse of Dimensionality; Clustering and Outlier Detection; Subspaces and Embeddings; Applications; Doctoral Symposium Papers.
Get an In-Depth Understanding of Graph Drawing Techniques, Algorithms, Software, and Applications The Handbook of Graph Drawing and Visualization provides a broad, up-to-date survey of the field of graph drawing. It covers topological and geometric foundations, algorithms, software systems, and visualization applications in business, education, science, and engineering. Each chapter is self-contained and includes extensive references. The first several chapters of the book deal with fundamental topological and geometric concepts and techniques used in graph drawing, such as planarity testing and embedding, crossings and planarization, symmetric drawings, and proximity drawings. The following...