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This volume presents revised versions of the papers presented at the 4th International Workshop on Multi-agent Based Simulation (MABS 2003), a workshop federated with the2ndInternationalJointConferenceonAutonomousAgentsandMulti-agentSystems (AAMAS 2003), which was held in Melbourne, Australia, in July 2003. In addition to the papers presented at the workshop, three additional papers have been included in this volume (Robertson, Noto et al., and Marietto et al.). Multiagent Based Simulation (MABS...

From Data Structures to Patterns provides a comprehensive introduction for undergraduate students taking a course on data structures and abstract data types. It also addresses the problem of how to design large abstract data types which contain many small data types, a missing dimension in many text books. While the first half concentrates on a conventional treatment of data structures and data types, the second half introduces two separate strands: how aggregation and inheritance can be used...

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...

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...

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...

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...

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...

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.

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...

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.

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...

Develop robust AI applications with TensorFlow, Cloud AutoML, TPUs, and other GCP services Key Features Focus on AI model development and deployment in GCP without worrying about infrastructure Manage feature processing, data storage, and trained models using Google Cloud Dataflow Access key frameworks such as TensorFlow and Cloud AutoML to run your deep learning models Book Description With a wide range of exciting tools and libraries such as Google BigQuery, Google Cloud Dataflow, and Google C...

Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book DescriptionData integrity management plays a critical role in the success and effectiveness...

Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fields Key Features Learn how to implement a pipeline for optimal model creation from large datasets and at lower costs Gain profound insights within your data while achieving greater efficiency and speed Apply your knowledge to real-world use cases and solve complex ML problems Purchase o...

Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R About This Book • Predict and use a probabilistic graphical models (PGM) as an expert system • Comprehend how your computer can learn Bayesian modeling to solve real-world problems • Know how to prepare data and feed the models by using the appropriate algorithms from the appropriate R package Who This Book Is For This book is for anyone who has to deal with lots of data a...

Over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps About This Book • Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types • Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning • Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed books Who This Book Is For This book teaches Python data a...

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you'll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range...

Fully build and productionize end-to-end machine learning solutions using Azure Machine Learning ServiceKey FeaturesAutomate complete machine learning solutions using Microsoft AzureUnderstand how to productionize machine learning modelsGet to grips with monitoring, MLOps, deep learning, distributed training, and reinforcement learningBook DescriptionData scientists working on productionizing machine learning (ML) workloads face a breadth of challenges at every step owing to the countless factor...

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing frameworkKey FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and ScalaBook DescriptionApache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data proc...

This book constitutes the thoroughly refereed post-conference proceedings of the 16th International Conference on DNA Computing and Molecular Programming, DNA16, held in Hong Kong, China, in June 2010. The 16 revised full papers presented were carefully selected during two rounds of reviewing and improvement from 59 submissions. The papers are well balanced between theoretical and experimental work and address all areas that relate to biomolecular computing, including demonstrations of biomolecu...