Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.

Internet searching. --- Computer network resources.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Learn how to help your library patrons deepen their internet searches to more effectively find information, images, videos, statistics, maps, books, definitions, translations, and more. You know how to dash off a quick Google search, but do you know how to go further with your searching to get everything you actually need? Written in an engaging, conversational tone, this handy guide introduces you to shortcuts and some of the hidden features and filters offered by many search tools-such as limiting by site, domain, or date-and to several free but little-known search tools. With concrete examples and practical how-to tips, you'll learn to effectively search Google, Wolfram Alpha, social media platforms, and other internet search tools-and how to teach your patrons to do the same. The information comprised in this volume can be easily shared with patrons to help them in their searches and may be used in information literacy courses.

Web search engines. --- Internet searching.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Internet research --- Internet searching --- Information literacy --- Study and teaching.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book covers the recent advances in web technologies and applications such as web data management, web information integration, web services, web data warehousing and web data mining, which rapidly changed our life in various ways. Sample Chapter(s)
Chapter 1: Using Semantics in XML Data Management (233 KB)

Contents:

• Using Semantics in XML Data Management (T W Lin & G Dobbie)
• Processing Web Aggregate Queries by Analyzing Search Engine Indices (S Oyama et al.)
• Process Mining for Composite Web Services (A Gao et al.)
<

Web services --- Semantic Web --- Information retrieval --- Data mining --- Internet searching

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping. Key Features Use Go libraries like Goquery and Colly to scrape the web Common pitfalls and best practices to effectively scrape and crawl Learn how to scrape using the Go concurrency model Book Description Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery. The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes. You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies. Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping. What you will learn Implement Cache-Control to avoid unnecessary network calls Coordinate concurrent scrapers Design a custom, larger-scale scraping system Scrape basic HTML pages with Colly and JavaScript pages with chromedp Discover how to search using the "strings" and "regexp" packages Set up a Go development environment Retrieve information from an HTML document Protect your web scraper from being blocked by using proxies Control web browsers to scrape JavaScript sites Who this book is for Data scientists, and web developers with a basic knowledge of Golang wanting to collect web data and analyze them for effective reporting and visualization." -- Publisher's description.

Data mining. --- Go (Computer program language)8 --- Internet searching --- Data processing.