Data mining

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019.

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019.

This book highlights research in linking and mining data from across varied data sources.

This book provides a survey on research, development, and trends in innovative computing in communications engineering and computer science.

Social media data contains our communication and online sharing, mirroring our daily life.

No detailed description available for "e;Cracking the Data Science Interview"e;.

The ever-changing world of wearable technologies makes it difficult for experts and practitioners to keep up with the most recent developments.

This book covers both classical and modern models in deep learning.

Businesses have faced a variety of difficulties as a result of the global pandemic, and how they responded to this disruption has affected both their resilience and their ability to get through this crisis.

Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial Intelligence (AI) applications in medicine and biology, as well as challenges and opportunities presented in these arenas.

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications.

The Internet of Things (IoT) has numerous applications, including smart cities, industries, cloud-based apps, smart homes, and surveillance.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance.

Most businesses today are embracing digital transformation and automation, deploying the processes of data analytics in combination with advanced technologies for customer retention using such techniques as marketing automation, digital marketing, machine learning (ML), blockchain, generative AI, and robotics.

The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare.

This book is intended as an introduction to a versatile model for temporal data.

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.

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities.

The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain.

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

This book presents the role of AI-Driven Digital Twin in the Industry 4.

The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market.

The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain.

Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories.

Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform.

In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT, and Cloud Computing and women's safety, highlighting the transformative potential of technology in safeguarding women's well-being in the physical and the digital world.

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.

This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume.

Our ability to generate and collect data has been increasing rapidly.

No detailed description available for "e;Python Feature Engineering Cookbook"e;.

The leading traits of executives often include creativity and innovation.

This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches.

In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic.

The book examines the integration of IoT, Blockchain, and Smart Healthcare, providing a comprehensive analysis of these advanced technologies and their impact on the healthcare industry.

This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector.

Transform Big Data into Insight"e;In this book, some of Oracle's best engineers and architects explain how you can make use of big data.

A fast paced guide that will help you to create, read, update and delete data using MongoDBKey FeaturesCreate secure databases with MongoDBManipulate and maintain your databaseModel and use data in a No SQL environment with MongoDBBook DescriptionMongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies.

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology.

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.

The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector.

This book provides an overview of data mining methods demonstrated by software.

This book records the new research findings and development in the field of industrial engineering, and it will serve as the guidebook for the potential development in industrial engineering and smart manufacturing.

This book describes the methodologies and tools used to conduct social cyber forensic analysis.

Analyze large datasets directly from R.

This book presents, for the first time, data analytics for smart infrastructures.

Design Databases with Oracle SQL Developer Data ModelerIn this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2.

In today's digital age, the risks to data and infrastructure have increased in both range and complexity.