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This book brings insight into Data Science and offers applications and implementation strategies. It includes recent developments and future trends and covers the concept of Data Science along with its origin. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and predictive analysis.
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Question-answering systems --- Database searching --- Artificial intelligence --- Problem solving
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The retail world is now more competitive than ever and to succeed, businesses must embrace an omnichannel approach. Understand how to harness the power of the digital customer connection to provide personalized and value-driving customer experiences in this extensively updated new edition.
Database searching. --- Electronic commerce. --- Retail trade. --- Stores, Retail.
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"Heuristic local search algorithms are used to find "good" solutions to the NP-hard combinatorial optimization problems that cannot be solved using analytical methods. Chapter one discusses the characterization and computation of heuristic local search algorithm for the Traveling Salesman Problem (TSP) from the perspective of dynamical systems. The purpose of chapter 2 is to show the practical application of CBIR technology in the security and protection of personal data, access to classified documents and objects, identification of illegal attacks that are part of the social life of the present and future of mankind. Continuous search space problems are difficult problems to solve because the number of solutions is infinite. Moreover, the search space gets more complex as we add constraints to the problem. In this context, chapter 3 aims to show the usage of the differential evolution algorithm for solving continuous search space problems using unconstrained functions and a constrained real-world problem"--
Querying (Computer science) --- Computer algorithms. --- Algorithms. --- Database searching.
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Learn the best way to write SQL in Java by taking control of SQL in your app via a type-safe, dynamic and versatile API that supports almost any type or feature compatible with a database and emphasizes SQL syntax correctness Key Features Write complex, type-safe, and dynamic SQL using the powerful jOOQ API Tackle complex persistence tasks, such as lazy fetching, R2DBC, transactions, and batching while sustaining high traffic in your modern Java applications Use a comprehensive SPI to shape and extend jOOQ according to your needs Book Description jOOQ is an excellent query builder framework that allows you to emulate database-specific SQL statements using a fluent, intuitive, and flexible DSL API. jOOQ is fully capable of handling the most complex SQL in more than 30 different database dialects. jOOQ Masterclass covers jOOQ from beginner to expert level using examples (for MySQL, PostgreSQL, SQL Server, and Oracle) that show you how jOOQ is a mature and complete solution for implementing the persistence layer. You'll learn how to use jOOQ in Spring Boot apps as a replacement for SpringTemplate and Spring Data JPA. Next, you'll unleash jOOQ type-safe queries and CRUD operations via jOOQ's records, converters, bindings, types, mappers, multi-tenancy, logging, and testing. Later, the book shows you how to use jOOQ to exploit powerful SQL features such as UDTs, embeddable types, embedded keys, and more. As you progress, you'll cover trending topics such as identifiers, batching, lazy loading, pagination, and HTTP long conversations. For implementation purposes, the jOOQ examples explained in this book are written in the Spring Boot context for Maven/Gradle against MySQL, Postgres, SQL Server, and Oracle. By the end of this book, you'll be a jOOQ power user capable of integrating jOOQ in the most modern and sophisticated apps including enterprise apps, microservices, and so on. What you will learn Enable the jOOQ Code Generator in any combination of Java and Kotlin, Maven and Gradle Generate jOOQ artifacts directly from database schema, or without touching the real database Use jOOQ DSL to write and execute a wide range of queries for different databases Understand jOOQ type-safe queries, CRUD operations, converters, bindings, and mappers Implement advanced SQL concepts such as stored procedures, derived tables, CTEs, window functions, and database views Implement jOOQ multi-tenancy, tuning, jOOQ SPI, logging, and testing Who this book is for This book is for Java developers who write applications that interact with databases via SQL. No prior experience with jOOQ is assumed.
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Offers a rich blend of theory and practice as well as examining the technology from a practical point of view. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of engineering and management.
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Machine learning --- Data mining --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching
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