Lucene In Action

Author: Michael McCandless
Publisher: Manning Publications
ISBN: 9781933988177
Size: 54.57 MB
Format: PDF, Kindle
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Lucene remains an indispensable part of most enterprise applications. This search engine now powers Web options in diverse companies, including Netflix, LinkedIn, and the Mayo Clinic. This updated edition is the definitive guide to developing with Lucene.

Solr In Action

Author: Trey Grainger
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548535353
Size: 28.24 MB
Format: PDF, Docs
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Search is everywhere, yet it is one of the most misunderstood functionalities of the IT industry. In Apache Solr, author Xavier Morera guides you through the basics of this highly popular enterprise search tool. You'll learn how to set up an index and how to make it searchable, then query it with a simple enterprise search. Explanations for precision and recall are also included to help you ensure that relevant, accurate results have been returned. Custom UIs using Solritas and SolrNet are also covered. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Lucene 4 Cookbook

Author: Edwood Ng
Publisher: Packt Publishing Ltd
ISBN: 1782162291
Size: 80.15 MB
Format: PDF, Kindle
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Lucene 4 Cookbook is a practical guide that shows you how to build a scalable search engine for your application, from an internal documentation search to a wide-scale web implementation with millions of records. Starting with helping you to successfully install Apache Lucene, it will guide you through creating your first search application. Furthermore, the book walks you through analyzing your text and indexing your data to leverage the performance of your search application. As you progress through the chapters, you will learn to effectively search your indexes and successfully employ real-time searching. The chapters start off with simple concepts and build up to complex solutions that should help you on your way to becoming a search engine expert.

Tika In Action

Author: Chris A. Mattmann
Publisher: Manning Publications Company
ISBN: 9781935182856
Size: 24.64 MB
Format: PDF, Docs
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The information trapped in text files, PDFs, and other digital content is a valuable information asset that can be very difficult to discover and use. Apache Tika is an open source toolkit that makes it easy for search engines, content management systems and other applications to detect and extract content from digital documents in all major file formats. Tika in Actionis a hands-on guide for developers working with search engines, content management systems and other similar applications who want to exploit the information locked in digital documents. It introduces the world of mining text and binary documents as well as other information sources. The book shows where Tika fits within this landscape and how readers can use Tika to build and extend applications. The book's many case studies give real-world experience from domains ranging from search engines to digital asset management and scientific data processing.

Hibernate Search In Action

Author: Emmanuel Bernard
Publisher: Manning Publications
ISBN:
Size: 31.18 MB
Format: PDF, Docs
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"Hibernate Search in Action introduces the subject of full-text search and helps readers master the Hibernate Search library. You'll start with the basics, like indexing your domain model and querying. Then, you'll learn to add human-friendly features like phonetic approximation, relevance ranking, and search by synonym. You'll also learn how to scale Lucene in a clustered environment and access Lucene natively to extend Hibernate Search. The book does not assume any previous knowledge of Hibernate Search." --Résumé de l'éditeur.

Algorithms Of The Intelligent Web

Author: Douglas G McIlwraith
Publisher: Manning Publications
ISBN: 9781617292583
Size: 31.75 MB
Format: PDF, Kindle
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Summary Algorithms of the Intelligent Web, Second Edition teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Valuable insights are buried in the tracks web users leave as they navigate pages and applications. You can uncover them by using intelligent algorithms like the ones that have earned Facebook, Google, and Twitter a place among the giants of web data pattern extraction. About the Book Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web. You'll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning. What's Inside Introduction to machine learning Extracting structure from data Deep learning and neural networks How recommendation engines work About the Reader Knowledge of Python is assumed. About the Authors Douglas McIlwraith is a machine learning expert and data science practitioner in the field of online advertising. Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. Dmitry Babenko designs applications for banking, insurance, and supply-chain management. Foreword by Yike Guo. Table of Contents Building applications for the intelligent web Extracting structure from data: clustering and transforming your data Recommending relevant content Classification: placing things where they belong Case study: click prediction for online advertising Deep learning and neural networks Making the right choice The future of the intelligent web Appendix - Capturing data on the web

Mastering Apache Solr

Author: Mr. Mathieu Nayrolles
Publisher: inKstall Solutions
ISBN: 8192784509
Size: 12.16 MB
Format: PDF, Kindle
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Topic: In the open source, full-text search community, a leader emerges – Apache Solr. Apache Solr enables you to index and access documents orders of magnitude faster than classical databases and thereby provides a first-class search experience to your end users. Brief Description: Mastering Apache Solr is a practical, hands-on guide containing crisp, relevant, systematically arranged, and progressive chapters. These chapters contain a wealth of information presented in a direct and easy-to-understand manner. This book covers key technical concepts, highlighting Solr's supremacy over classical databases in full-text search, which will help you accelerate your progress in the Solr world. Detailed Description: Mastering Apache Solr starts with an introduction to Apache Solr, its underlying technologies, the main differences between the classical database engines, and gradually moves to more advance topics like boosting performance. In this book, we will look under the hood of a large number of topics and discuss answers to pertinent questions like why denormalize data, how to import classical databases' data inside Apache Solr, how to serve Solr through five different web servers, how to optimize them to serve Solr even faster. An important and major topic covered in this book is Solr's querying mechanism, which will prove to be a strong ally in our journey through this book. We then look at boosting performance and deploying Solr using several servlet servers. Finally, we cover how to communicate with Solr using different programming languages, before deploying it in a cloud-based environment. Who this book is for: Mastering Apache Solr has been written for developers, programmers, and data specialists who want to take a leap towards the future of full-text storage and search and offer a world-class experience to their users. The reader is expected to have a working knowledge of traditional databases, Linux-based operating systems, and XML configuration files. Style and Approach: Mastering Apache Solr is written lucidly and has a dynamically simple approach. From the first page to the last, the book remains practical and focuses on the most important topics used in the world of Apache Solr without neglecting important theoretical fundamentals that help you build a strong foundation. Conclusion: Mastering Apache Solr will empower you to provide a world-class search experience to your end users through the discovery of the powerful mechanisms presented in this book.

Scaling Apache Solr

Author: Hrishikesh Vijay Karambelkar
Publisher: Packt Publishing Ltd
ISBN: 178398175X
Size: 27.29 MB
Format: PDF, Kindle
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This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.

Hadoop The Definitive Guide

Author: Tom White
Publisher: "O'Reilly Media, Inc."
ISBN: 1449338771
Size: 67.76 MB
Format: PDF, ePub, Docs
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Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN). Store large datasets with the Hadoop Distributed File System (HDFS) Run distributed computations with MapReduce Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud Load data from relational databases into HDFS, using Sqoop Perform large-scale data processing with the Pig query language Analyze datasets with Hive, Hadoop’s data warehousing system Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Professional Struts Applications

Author: John Carnell
Publisher: Apress
ISBN: 1430211229
Size: 61.21 MB
Format: PDF, ePub
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* Instructs the use of Struts to build MVC Web applications and simplify HTML form construction and validation * Provides information on using Object-RelationalBridge to cut down the amount of data-access code necessary to be written and maintained * Teaches how to use Lucene to incorporate search engine functionality into a Web application * Demonstrates how to use Velocity to cleanly separate presentation and Java Code