Innovative Techniques and Applications of Entity Resolution (Advances in Data Mining and Database Management)
by Hongzhi Wang
Entity resolution is an essential tool in processing and analysing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation. Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques and applications of entity resolution. This resear...
Now in color, this edition of Learning Tableau will empower you to bring data to life and make better business decisions. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn the basics of data analysis, from snappy visualizations to comprehensive dashboardsGain meaningful insights with geospatial analysis, scripting extensions, and other advanced methodsExplore the latest Tableau 2022 features, including Einstein Discovery and Explain DataBook DescriptionL...
Richard Watson provides a balanced treatment of the technical and business sides of managing data. Management of data has never been more critical for organizations of any size. This book discusses the technical aspects of database design and implementation as well as the why and how of the management of databases, and the managerial issues and business philosophy behind databases. The text includes sections on UML for data modelling, server-side scripting (PHP) for linking a database to Web ser...
For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations management assessment. Data Envelopment Analysis and Effective Performance Assessment addresses the myriad of practical uses and innovative developments of DEA. Emphasizing the importance of analyzing productivity by measuring inputs, goals, econ...
An Imitation-Based Approach to Modeling Homogenous Agents Societies
by Goran Trajkovski
As interest in computer, cognitive, and social sciences grow, the need for alternative approaches to models in related-disciplines thrives. ""An Imitation-Based Approach to Modeling Homogeneous Agents Societies"" offers a framework for modeling societies of autonomous agents that is heavily based on fuzzy algebraic tools. This publication overviews platforms developed with the purpose of simulating hypotheses or harvesting data from human subjects in efforts for calibration of the model of early...
Information Technology Governance and Service Management: Frameworks and Adaptations
Pervasive Computing and Communications Design and Deployment
Pervasive Computing and Communications Design and Deployment: Technologies, Trends, and Applications has a broad scope since it is intended to provide an overview on the general and interdisciplinary topic of pervasive computing and communications. Particular aspects studied in this book include enabling factors, key characteristics, future trends, user adoption, privacy issues and impact of pervasive computing on Information and Communications Technology (ICT) and its associated social aspects....
Writing a compiler is a very good practice for learning how complex problems could be solved using methods from software engineering. It is extremely important to program rather carefully and exactly, because we have to remember that a compiler is a program which has to handle an input that is usually incorrect. Therefore, the compiler itself must be error-free. Referring to Niklaus Wirth, we postulate that the grammatical structure of a language must be reflected in the structure of the compile...
Foundations of Software Technology and Theoretical Computer Science (Lecture Notes in Computer Science, #405)
The papers in this volume accepted for the conference on foundations of software technology and theoretical computer science project research results in - Algorithmics: design and analysis of graph, geometric, algebraic and VLSI algorithms; data structures; average analysis; complexity theory; parallel parsing. - Concurrency: algebraic semantics, event structures. - Logic programming: algebraic properties, semantics. - Software technology: program transformations, algebraic methods. These result...
Database technology and entity-relationship (ER) modeling have meanwhile reached the level of an established technology. This book presents the achievements of research in this field in a comprehensive survey. It deals with the entity-relationship model and its extensions with regard to an integrated development and modeling of database applications and, consequently, the specification of structures, behavior and interaction. Apart from research on the ER model and the syntax, semantics, and pra...
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this com...
Gain the critical skills you need to manage data science teams, understand and evaluate statistical and machine learning models., and make decisions for your data science team and organization with confidence. Key Features Learn how to frame business problems as machine learning use-cases Get a handle of on key machine learning and statistical concepts to better understand and evaluate data science results Understand how to manage a data science team and structure a data science project fro...
Handbook of Data Quality
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, cur...
Algorithms and data structures lie at the heart of computer science, and are essential tools for every practising programmer. This book provides an in-depth treatment of the central algorithms and data structures of computer science, together with an introduction to the techniques of design, correctness and analysis required for understanding them. Beginning with coverage of techniques followed by the major application areas of lists, trees, symbol tables, priority queues, sorting, disjoint sets...
Intelligent Database Systems
by Elisa Bertino, Gian Piero Zarri, and Barbara Catania
A complete tutorial guide to intelligent database systems, in which advanced techniques are used to represent or manipulate knowledge/data in a more accessible way.
Listen, Bäume und Graphen als Objekte (Springers Angewandte Informatik)
by Daniel Schaerer
Das Buch behandelt die Entwicklung von Datenstrukturen und Algorithmen für Listen, Bäume und Graphen mittels objektorientierter Verfahren. Es führt seine Leser in den Umgang mit Listen, Bäumen und Graphen sowie in deren wichtigste Anwendungen ein und macht mit objektorientierten Entwurfs- und Programmierverfahren vertraut. Der hier verwendete objektorientierte Ansatz wird in der Literatur zur Entwicklung von Datenstrukturen und Algorithmen bisher wenig verwendet. Er hilft, Datenstrukturen und Al...
Machine Vision Algorithms in Java provides a comprehensive introduction to the algorithms and techniques associated with machine vision systems. The Java programming language is also introduced, with particular reference to its imaging capabilities. The book contains explanations of key machine vision techniques and algorithms, along with the associated Java source code. Special features include: - A complete self-contained treatment of the topics and techniques essential to the understanding a...
“Rebecca provides an invaluable resource to help developers focus on a commonly overlooked but vital part of an application—the user experience.” —David Sceppa, Program Manager, Microsoft Corporation “Rebecca Riordan takes UI programming and practices to new heights. She has gone byond simply explaining the theory behind UI programming practices, providing code samples that are practical, well-documented, and can be immediately incorporated into a development project.” —Wendy...
Modeling, Simulation and Visualization Methods (2018 Worldcomp International Conference Proceedings)
This book contains the proceedings of the 2018 International Conference on Modeling, Simulation and Visualization Methods (MSV'18). MSV is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results.
Practical Hive
by Scott Shaw, Andreas Francois Vermeulen, Ankur Gupta, and David Kjerrumgaard
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interac...
Cloud Data Center Network Architectures and Technologies
by Lei Zhang and Le Chen
Cloud Data Center Network Architectures and Technologies has been written with the support of Huawei's vast technical knowledge and experience in the data center network (DCN) field, as well as its understanding of customer service requirements. This book describes in detail the architecture design, technical implementation, planning and design, and deployment suggestions for cloud DCNs based on the service challenges DCNs encounter. It starts by describing the overall architecture and technical...
Database System Implementation
by Hector Garcia-Molina, Jeffrey D Ullman, and Jennifer D. Widom
Three well-known computer scientists at Stanford University-Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom-have written one of the most comprehensive books on database system implementation. Hector Garcia- Molina pioneered this book at Stanford as a second database systems course for computer science majors and industry-based professionals. It focuses on the implementation of database systems, including storage structures, query processing, and transaction management. Database Syste...
The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary...