True Links

Author : Irena Koprinska,Michael Kamp,Annalisa Appice,Corrado Loglisci,Luiza Antonie,Albrecht Zimmermann,Riccardo Guidotti,Özlem Özgöbek,Rita P. Ribeiro,Ricard Gavaldà,João Gama,Linara Adilova,Yamuna Krishnamurthy,Pedro M. Ferreira,Donato Malerba,Ibéria Medeiros,Michelangelo Ceci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras,Peter Christen,Eirini Ntoutsi,Erich Schubert,Arthur Zimek,Anna Monreale,Przemyslaw Biecek,Salvatore Rinzivillo,Benjamin Kille,Andreas Lommatzsch,Jon Atle Gulla
Publisher : Springer Nature
Page : 619 pages
File Size : 52,7 Mb
Release : 2021-02-01
Category : Computers
ISBN : 9783030659653

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ECML PKDD 2020 Workshops by Irena Koprinska,Michael Kamp,Annalisa Appice,Corrado Loglisci,Luiza Antonie,Albrecht Zimmermann,Riccardo Guidotti,Özlem Özgöbek,Rita P. Ribeiro,Ricard Gavaldà,João Gama,Linara Adilova,Yamuna Krishnamurthy,Pedro M. Ferreira,Donato Malerba,Ibéria Medeiros,Michelangelo Ceci,Giuseppe Manco,Elio Masciari,Zbigniew W. Ras,Peter Christen,Eirini Ntoutsi,Erich Schubert,Arthur Zimek,Anna Monreale,Przemyslaw Biecek,Salvatore Rinzivillo,Benjamin Kille,Andreas Lommatzsch,Jon Atle Gulla Pdf

This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.

Author : Zhezhen Jin,Mengling Liu,Xiaolong Luo
Publisher : Springer
Page : 214 pages
File Size : 42,6 Mb
Release : 2016-10-28
Category : Medical
ISBN : 9783319425719

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New Developments in Statistical Modeling, Inference and Application by Zhezhen Jin,Mengling Liu,Xiaolong Luo Pdf

The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.

Author : Anonim
Publisher : DIANE Publishing
Page : 120 pages
File Size : 51,9 Mb
Release : 2024-06-03
Category : Electronic
ISBN : 1422324834

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Integrating state administrative records to manage substance abuse treatment system performance by Anonim Pdf

Author : Josep Domingo-Ferrer,Krishnamurty Muralidhar
Publisher : Springer Nature
Page : 371 pages
File Size : 44,5 Mb
Release : 2020-09-16
Category : Computers
ISBN : 9783030575212

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Privacy in Statistical Databases by Josep Domingo-Ferrer,Krishnamurty Muralidhar Pdf

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Author : William R. Taylor,Andras Aszodi
Publisher : CRC Press
Page : 348 pages
File Size : 48,5 Mb
Release : 2004-10-01
Category : Science
ISBN : 9781420033632

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Protein Geometry, Classification, Topology and Symmetry by William R. Taylor,Andras Aszodi Pdf

Using a geometric perspective, Protein Geometry, Classification, Topology, and Symmetry reviews and analyzes the structural principals of proteins with the goal of revealing the underlying regularities in their construction. It also reviews computer methods for structure analysis and the automatic comparison and classification of these structures with an analysis of the statistical significance of comparing different shapes. Following an analysis of the current state of protein classification, the authors explore more abstract geometric and topological representations, including the occurrence of knotted topologies. The book concludes with a consideration of the origin of higher-level symmetries in protein structure. The authors focus on simple geometric methods that are deterministic rather than probabilistic and on the more abstract simplifications of protein structure that allow a better understanding of the overall fold of the structure. Most of the methods described in this book have corresponding computer programs. These can be found (as C source code) at the ftp site of the Division of Mathematical Biology at the National Institute for Medical Research. This collection of ideas contains pedagogical material that make it ideal for post-graduate courses as well as new ideas and results essential for researchers investigating protein structures.

Author : Tetteh Dugbaza,Brendan Scott
Publisher : AIHW
Page : 107 pages
File Size : 52,7 Mb
Release : 2012
Category : Aboriginal Australians
ISBN : 9781742493091

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National Best Practice Guidelines for Indigenous Data Linkage Activities Relating to Aboriginal and Torres Strait Islander People [electronic Resource] by Tetteh Dugbaza,Brendan Scott Pdf

"This report consists of a thematic list of projects that used, or are using, data linkage in regard to Aboriginal and Torres Strait Islander people. The report is intended to be a resource for analysts and data linkers, who are considering project design or just researching data linkage that has been conducted according to various medical themes or conditions affecting Aboriginal and Torres Strait Islander Australians."--P. 1.

Author : Ge Lin,Ming Qu
Publisher : CRC Press
Page : 310 pages
File Size : 42,9 Mb
Release : 2018-09-03
Category : Business & Economics
ISBN : 9781315362649

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Smart Use of State Public Health Data for Health Disparity Assessment by Ge Lin,Ming Qu Pdf

Health services are often fragmented along organizational lines with limited communication among the public health–related programs or organizations, such as mental health, social services, and public health services. This can result in disjointed decision making without necessary data and knowledge, organizational fragmentation, and disparate knowledge development across the full array of public health needs. When new questions or challenges arise that require collaboration, individual public health practitioners (e.g., surveillance specialists and epidemiologists) often do not have the time and energy to spend on them. Smart Use of State Public Health Data for Health Disparity Assessment promotes data integration to aid crosscutting program collaboration. It explains how to maximize the use of various datasets from state health departments for assessing health disparity and for disease prevention. The authors offer practical advice on state public health data use, their strengths and weaknesses, data management insight, and lessons learned. They propose a bottom-up approach for building an integrated public health data warehouse that includes localized public health data. The book is divided into three sections: Section I has seven chapters devoted to knowledge and skill preparations for recognizing disparity issues and integrating and analyzing local public health data. Section II provides a systematic surveillance effort by linking census tract poverty to other health disparity dimensions. Section III provides in-depth studies related to Sections I and II. All data used in the book have been geocoded to the census tract level, making it possible to go more local, even down to the neighborhood level.

Author : Zahir Tari
Publisher : Springer
Page : 1115 pages
File Size : 54,5 Mb
Release : 2006-11-30
Category : Computers
ISBN : 9783540482895

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On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE by Zahir Tari Pdf

This two-volume set LNCS 4275/4276 constitutes the refereed proceedings of the four confederated conferences CoopIS 2006, DOA 2006, GADA 2006, and ODBASE 2006 held as OTM 2006 in Montpellier, France in October/November 2006. The 106 revised full and nine short papers presented together with four keynote speeches were carefully reviewed and selected from a total of 361 submissions.

Author : Katie Harron,Harvey Goldstein,Chris Dibben
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 43,8 Mb
Release : 2015-09-22
Category : Medical
ISBN : 9781119072461

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Methodological Developments in Data Linkage by Katie Harron,Harvey Goldstein,Chris Dibben Pdf

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.

Author : James David Dundas
Publisher : Unknown
Page : 536 pages
File Size : 54,8 Mb
Release : 1998
Category : Cache memory
ISBN : UOM:39015041796346

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Improving Processor Performance by Dynamically Pre-processing the Instruction Stream by James David Dundas Pdf

The exponentially increasing gap between processors and off-chip memory, as measured in processor cycles, is rapidly turning memory latency into a major processor performance bottleneck. Traditional solutions, such as employing multiple levels of caches, are expensive and do not work well with some applications. We evaluate a technique, called runahead pre-processing, that can significantly improve processor performance. The instruction and data stream prefetches generated during runahead episodes led to a significant performance improvement for all of the benchmarks we examined. We found that runahead typically led to about a 30% reduction in CPI for the four Spec95 integer benchmarks that we simulated, while runahead was able to reduce CPI by 77% for the STREAM benchmark. This is for a five stage pipeline with two levels of split instruction and data caches: 8KB each of L1, and 1MB each of L2. A significant result is that when the latency to off-chip memory increases, or if the caching performance for a particular benchmark is poor, runahead is especially effective as the processor has more opportunities in which to pre-process instructions. Finally, runahead appears particularly well suited for use with high clock-rate in-order processors that employ relatively inexpensive memory hierarchies.

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 54,9 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

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Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Author : Anonim
Publisher : Unknown
Page : 832 pages
File Size : 47,7 Mb
Release : 1991
Category : Census
ISBN : IND:30000050003197

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Proceedings by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 836 pages
File Size : 55,9 Mb
Release : 1991
Category : Census
ISBN : OSU:32435071585947

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1991 Annual Research Conference by Anonim Pdf

Author : Jane Huang,Orlena Gotel,Andrea Zisman
Publisher : Springer Science & Business Media
Page : 495 pages
File Size : 46,7 Mb
Release : 2012-02-01
Category : Computers
ISBN : 9781447122395

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Software and Systems Traceability by Jane Huang,Orlena Gotel,Andrea Zisman Pdf

Software and Systems Traceability provides a comprehensive description of the practices and theories of software traceability across all phases of the software development lifecycle. The term software traceability is derived from the concept of requirements traceability. Requirements traceability is the ability to track a requirement all the way from its origins to the downstream work products that implement that requirement in a software system. Software traceability is defined as the ability to relate the various types of software artefacts created during the development of software systems. Traceability relations can improve the quality of a product being developed, and reduce the time and cost of development. More specifically, traceability relations can support evolution of software systems, reuse of parts of a system by comparing components of new and existing systems, validation that a system meets its requirements, understanding of the rationale for certain design and implementation decisions, and analysis of the implications of changes in the system.

Author : Raghavendra Rao Althar,Debabrata Samanta,Debanjan Konar,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Page : 385 pages
File Size : 45,9 Mb
Release : 2021-07-19
Category : Computers
ISBN : 9783110703535

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Software Source Code by Raghavendra Rao Althar,Debabrata Samanta,Debanjan Konar,Siddhartha Bhattacharyya Pdf

This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.