De que forma a ação humana contribui para a alteração

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This short document promotes creating presentations on SlideShare using Haiku Deck. It features a stock photo of Harold Lloyd and text suggesting the reader may be inspired to get started making their own Haiku Deck presentation. In just a few words, it pitches the idea of easily creating engaging slideshows.

Bixo is a web mining toolkit built on Apache Cascading and Hadoop that allows users to extract and analyze data from web pages through a customizable ETL (extract-transform-load) workflow. It provides input and output taps to ingest data from various sources and export results, as well as built-in Bixo Pipes for common web mining tasks like link analysis, page scoring, and entity extraction. Workflows can be run locally or deployed to Hadoop clusters on EC2.

6 steps to be followed for mobile app localization

iMOBDEV Technologies Pvt. Ltd.

Identidade visual minhocão

Camila Kawachiya Silveira

Hadoop Frameworks Panel__HadoopSummit2010

Yahoo Developer Network

Mining Web content for Enhanced Search

Roi Blanco

Slides for the iDB summer school (Sapporo, Japan) http://db-event.jpn.org/idb2013/ Typically, Web mining approaches have focused on enhancing or learning about user seeking behavior, from query log analysis and click through usage, employing the web graph structure for ranking to detecting spam or web page duplicates. Lately, there's a trend on mining web content semantics and dynamics in order to enhance search capabilities by either providing direct answers to users or allowing for advanced interfaces or capabilities. In this tutorial we will look into different ways of mining textual information from Web archives, with a particular focus on how to extract and disambiguate entities, and how to put them in use in various search scenarios. Further, we will discuss how web dynamics affects information access and how to exploit them in a search context.

Web mining

Innovative Pencils

This document provides an overview of web mining, which uses data mining techniques to automatically discover and extract information from web documents and services. It discusses the differences between web mining and traditional data mining, and covers various topics in web mining including web content mining, web structure mining, and web usage mining. The document also examines issues around the large scale of web data and approaches for analyzing it at scale across distributed systems.

Web mining tools

Sujata Regoti

The Bixo Web Mining Toolkit

Tom Croucher

The document introduces Bixo, an open source web mining toolkit built on Hadoop, Cascading, and Tika. It provides an example of how Bixo was used to analyze Apache Hadoop mailing list archives to determine the most helpful contributors. The workflow involved collecting email data, parsing it, analyzing messages to score contributors, and producing a ranked list. Bixo allows building custom workflows through a pipe model to extract structured data from unstructured web sources for business intelligence, competitive analysis, and other applications.

Web content mining

Akanksha Dombe

The document discusses web content mining. It covers topics such as web content data structure including unstructured, semi-structured, and structured data. It also discusses techniques used for web content mining such as classification, clustering, and association. Finally, it provides examples of applications such as structured data extraction, sentiment analysis of reviews, and targeted advertising.