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All Blog Posts Tagged 'web' (23)

Enhance Cognitive Bandwidth with Outsourced Web Research Services

The web research process is essential for businesses irrespective of the industry verticals they deal in. From global Corporates to small and medium-sized enterprises to aggregator startups, organizations need online research to take the data-driven approach. This helps them in making informed decisions and scale new…

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Added by Jessica Anderson on June 23, 2021 at 2:30am — No Comments

Applying Regression-based Machine Learning to Web Scraping

Whenever we begin dealing with machine learning, we often turn to the simpler classification models. In fact, people outside of this sphere have mostly seen those models at work. After all, image recognition has become the poster child of machine learning.…

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Added by Aleksandras Sulzenko on June 17, 2021 at 9:30pm — No Comments

Why Enterprise Data Planning Is Crucial for Faster Outcomes

Have you ever sat in a meeting where everyone has a different number for the same performance measure? This typically results in spending the next hour trying to reconcile the differences rather than making the important business decisions required. Upon further analysis, it is likely everyone will have the right number according to…

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Added by Jimna Jayan on May 3, 2021 at 8:00am — No Comments

Web development trends for 2021 and the latest web technology stack

            

Standards in web development can change faster than they can implement. To stay one step ahead, it is essential to keep an eye on the prevailing trends, techniques, and approaches.

We've analyzed trends across the industry and put together a…

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Added by OLIVIA CUTHBERT on April 27, 2021 at 12:31am — No Comments

Best JavaScript Frameworks for 2021



According to Stackoverflow's 2021 Developer Survey,…

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Added by OLIVIA CUTHBERT on April 21, 2021 at 1:00am — No Comments

10 Web Development Trends That You Can't Skip Reading

The importance of web development…

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Added by OLIVIA CUTHBERT on April 1, 2021 at 7:30pm — No Comments

Data Mining VS Data Extraction: What's the Difference?

As two typical buzzwords related to data science, data mining and data extraction confuse a lot of people. Data mining is often misunderstood as extracting and obtaining data, but it is actually way more complicated than that. In this post, let’s find out the difference between data mining and data extraction. 

 

Table of contents

  • What is Data Mining?
  • What Can Data Mining Do?
  • Some Use Cases of Data…
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Added by Erika Foo on June 1, 2020 at 1:30am — No Comments

3 Ways to Scrape Data from a Table

There is a lot of data presented in a table format inside the web pages. However, it could be quite difficult when you try to store the data into local computers for later access. The problem would be that the data is embedded inside the HTML which is unavailable to download in a structured format like CSV. Web scraping is the easiest way to obtain the data into your local computer.

 

scrape data from a table_Octoparse

table data from …

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Added by Erika Foo on March 30, 2020 at 7:24pm — No Comments

Extract Data from Website to Excel Automatically

To extract data from websites, you can take advantage of data extraction tools like Octoparse. These tools can pull data from websites automatically and save them into many formats such as Excel, JSON, CSV, HTML, or to your own database via APIs. It only takes a few minutes to extract thousands of lines of data, and the best part is…

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Added by Erika Foo on March 22, 2020 at 9:30pm — No Comments

What is Web Scraping and How Does It Work

Web scraping, also known as web harvesting and  web data extraction, basically refers to collecting data from websites via the Hypertext Transfer Protocol (HTTP) or through web browsers. 

How does web scraping work?

Generally, web scraping involves three steps: 

  • first, we send a GET request to the server and we will receive a response in a form of web…
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Added by Erika Foo on March 16, 2020 at 12:30am — No Comments

Web Personalisation with Drupal and Machine Learning

In this modern age, self-driving cars, voice-based assistants, social media feeds, and more are the tools fuelled by the technological marvel of the 21st century called machine learning.

If you wish to learn about the importance of web personalization and how machine learning impacts the Drupal development, then this article is for you.…

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Added by Ryan Williamson on February 13, 2020 at 8:25pm — No Comments

How Web scraping and Big Data Analytics can be used to impact the Media and Entertainment industry

Every industry in the world is moving towards data-driven decision making, then one of the most popular and …

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Added by Sandra Moraes on September 26, 2019 at 6:30pm — No Comments

Implementing Knowledge Graphs in Enterprises - Some Tips and Trends

Tips

  1. Don't try to put the cart before the horse: realize that efficient data preparation (and thus interoperable standards) and data quality, especially in the enterprise environment, are a basic requirement for…
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Added by Andreas Blumauer on May 21, 2019 at 5:33am — No Comments

Six Core Aspects of Semantic AI

  1. Hybrid approach: Semantic AI is the combination of methods derived from symbolic AI and statistical AI. Virtuously playing the AI piano means that for a given use case various stakeholders, not only data scientists, but also process owners or subject matter experts, choose from available methods and tools, and collaboratively develop workflows that are most likely a good fit to tackle the underlying problem. For example, one can combine entity extraction based on…
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Added by Andreas Blumauer on May 14, 2018 at 4:30am — 2 Comments

Why Cognitive Systems should combine Machine Learning with Semantic Technologies

Will Artificial Intelligence make subject matter experts obsolete?

Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perform best? Applications solely based on machine learning, those ones which are based on experts' knowledge only, or a combination of both?

Most of the machine learning algorithms were…

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Added by Andreas Blumauer on August 28, 2017 at 3:00am — 1 Comment

A Standard to build Knowledge Graphs: 12 Facts about SKOS

These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning and cognitive computing efforts. For many of those, it remains still unclear where to start. SKOS offers a simple way to start and opens many doors to extend a knowledge graph over time.

1)…

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Added by Andreas Blumauer on August 28, 2017 at 3:00am — No Comments

Introducing a Graph-based Semantic Layer in Enterprises

Things, not Strings

Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts of business objects. This method of information processing is as relevant to customers, citizens, or patients as it is to knowledge workers like lawyers, doctors, or researchers. People actually do not search for documents, but rather for facts and other chunks of information to bundle them up to provide answers to…

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Added by Andreas Blumauer on September 1, 2016 at 12:00am — No Comments

Boost Your Productivity With Amazon Web Services

During the last few years, the hottest word on everyone’s lip has been “productivity.” In the rapidly evolving Internet world, getting something done fast always gets an upvote. Despite needing to implement real business logic quickly and accurately, as an experienced PHP developer I still spent hundreds of hours on other tasks, such as setting up database or caches, deploying projects, monitoring online statistics, and so on. Many developers have struggled with these so called miscellaneous…

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Added by Irina Papuc on March 24, 2016 at 9:00am — No Comments

Semantics Approach to Big Data and Event Processing - full content from 3 day in-depth tutorial

Variety, Velocity, Volume and Veracity are the four Vs for Big Data. Most of the technologies available have shown how to treat the Volume. However, due to the increasing number of streaming data sources, the Velocity problem is as relevant as never before. Moreover, Veracity and especially Variety problems have increased the difficulty of the challenge.…

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Added by Amit Sheth on November 5, 2015 at 8:30am — No Comments

SPARQL is the new King of all Data Scientist’s tools

Inspired by the development of semantic technologies in recent years, in statistical analysis field the traditional methodology of designing, publishing and consuming statistical datasets is evolving to so-called “Linked Statistical Data” by associating semantics with dimensions, attributes and observation values based on Linked Data design principles.

The representation of datasets is no longer a combination of magic words and numbers. Everything is becoming…

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Added by Andreas Blumauer on September 9, 2015 at 11:23pm — No Comments

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