Data mining

Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExecute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databasesImplement effective Pandas data operation with data wranglerIntegrate pipelines with AWS data servicesBook DescriptionData wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format.

The only Oracle Press guide to MySQL Workbench explains how to design and model MySQL databases.

Exploit the power of data in your business by building advanced predictive modeling applications with PythonAbout This BookMaster open source Python tools to build sophisticated predictive modelsLearn to identify the right machine learning algorithm for your problem with this forward-thinking guideGrasp the major methods of predictive modeling and move beyond the basics to a deeper level of understandingWho This Book Is ForThis book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python.

This book constitutes the workshop proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019.

A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data.

Best Practices for JD Edwards EnterpriseOne Tuning and OptimizationAchieve peak performance from your ERP platform while minimizing downtime and lowering TCO.

Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence (AI), as well as the challenges and path ahead for AI in computing and control across different domains of business and human life.

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and

This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The three-volume set LNCS 101164, 11165, and 11166 constitutes the refereed proceedings of the 19th Pacific-Rim Conference on Multimedia, PCM 2018, held in Hefei, China, in September 2018.

Operational research (OR) methods are used in many fields of sciences like computer engineering, industrial engineering, social works, business management, medical studies and finance.

New technologies have enabled us to collect massive amounts of data in many fields.

Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineerKey FeaturesUnderstand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solutionLearn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelinesDiscover tips to prepare for and pass the Professional Data Engineer examBook DescriptionWith this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards.

The book demonstrates how Resilient Health Care principles can enable those on the frontline to work more effectively towards interdisciplinary care by gaining a deeper understanding of the boundaries that exist in everyday clinical settings.

This is the first comprehensive overview of the exciting field of the ''science of science''.

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.

This book constitutes the refereed proceedings of the Third International Conference on Intelligence Science, ICIS 2018, held in Beijing China, in November 2018.

This book intends to expound the complete concept of Web in Theory, Web in Research and Web in Practice with the help of worked out examples for better understanding.

For many organizations, Hadoop is the first step for dealing with massive amounts of data.

Shows how traditional and nontraditional methods such as anomaly detection and time series can be extended using data analytics.

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.

Implement real-world decentralized applications using Python, Vyper, Populus, and EthereumKey FeaturesStay up-to-date with everything you need to know about the blockchain ecosystemImplement smart contracts, wallets, and decentralized applications(DApps) using Python librariesGet deeper insights into storing content in a distributed storage platformBook DescriptionBlockchain is seen as the main technological solution that works as a public ledger for all cryptocurrency transactions.

This book constitutes the refereed post-conference proceedings of the 8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with ECML-PKDD 2019 in Wurzburg, Germany, in September 2019.

From the Foreword:"e;While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages.

Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas.

Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade.

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today's information-rich world.

This book constitutes the thoroughly refereed conference proceedings of the 13International Workshop on OWL: Experiences and Directions, OWLED 2016, and the 5th International Workshop on OWL: Reasoner Evaluation, ORE 2016, held in Bologna, Italy in November 20, 2016.

This book puts in one place and in accessible form Richard Berk's most recent work on forecasts of re-offending by individuals already in criminal justice custody.

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

This book introduces recent wireless technologies and their impact on recent trends, applications, and opportunities.

Maintaining the advanced technical focus found in Developing Essbase Applications, this second volume is another collaborative effort by some of the best Essbase practitioners from around the world.

Design for large-scale, high-performance queries using Snowflake's query processing engine to empower data consumers with timely, comprehensive, and secure access to data.

Data mining deals with finding patterns in data that are by user-definition, interesting and valid.

Gain the confidence you need to apply machine learning in your daily work.

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data.

The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018.

This book addresses topics related to the Internet of Things (IoT), machine learning, cyber-physical systems, cloud computing, and autonomous vehicles in Industry 4.

This two volume set LNCS 10438 and LNCS 10439 constitutes the refereed proceedings of the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, August 2017.

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields.

This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.

Learn how to build a data science technology stack and perform good data science with repeatable methods.

This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions.

This book contains revised versions of all the papers presented at the 16th International Conference on Cryptology and Network Security, CANS 2017, held in Hong Kong, China, in November/ December 2017.

Extend PostgreSQL using PostgreSQL server programming to create, test, debug, and optimize a range of user-defined functions in your favorite programming languageKey FeaturesLearn the concepts of PostgreSQL 11 with lots of real-world datasets and examplesLearn queries, data replication, and database performanceExtend the functionalities of your PostgreSQL instance to suit your organizational needsBook DescriptionPostgreSQL is a rock-solid, scalable, and safe enterprise-level relational database.

The world of cybersecurity and the landscape that it possesses is changing on a dynamic basis.