For instance,
deep web data is now being exploited by US political fundraisers, in ways similar to established marketing practices.
Other
deep Web data comes from temporary pages (such as advertisements for illegal sexual and similarly illicit services) that are removed before search engines can crawl them.
Not exact matches
Much of this
deep Web information is unstructured
data gathered from sensors and other devices that may not reside in a database that can be scanned or «crawled» by search engines.
Search engines ignore most of the unstructured
data, unlinked content (
Web pages without links to other pages) and temporary pages they find in the
deep Web, dismissing them as unusable to the audience that search engine advertisers are trying to reach.
Data suggest a
web of lake organisms might thrive
deep under ice; scientists struggle to make sense of the new report
This new school
data web app tool, developed by GO and the Urban Strategies Council, allows us to go
deeper into student
data and begin to ask questions about how different groups of students are doing in the same schools.
In The Creators Project's documentary, Trevor Paglen's
Deep Web Dive, released online earlier this week, we followed Paglen underwater of the coast of Ft. Lauderdale, Florida beaches, to examine the internet cables that channel an immeasurable flow of
data and online traffic.
Ernest Aduwa, solicitor at Stokoe Partnership Solicitors, writes for Solicitors Journal and discusses the
deep web and the need to protect confidential
data.
The
Deep & Dark
Web (DDW) remains the key source for invaluable
data and intelligence pertaining to a wide range of cyber and physical threats, fraudulent activities, and malicious actors.
Coinalytics also brought on two other founders during 500 Startups - Bill Gleim; a former software engineer at Google, and James Edwards; previously a
data architect for Amazon
Web Services - to peer
deeper into bitcoin's
data structures.
With
deep background in engineering, program, product and partner management in diverse products (telecommunication,
web, IoT M2M, enterprise collaboration, network / systems / device management, SaaS / Cloud solutions), I am excited to contribute as an individual or in a leadership role to deliver differentiated solutions.Career focus: Cloud infrastructure and Big
Data driven automation.
• Provided various Content Group and Visitor Segment reports with all the possible measures and dimensions to judge the performance of content and visitor segments in compliance with campaigns and referrers at
deeper level • Created and executed the A / B and Multivariate Test Scenarios to optimize the website content, Also provided personalization campaign analysis • Tested Site Catalyst and Test and Target parameters, using java script and proxy debugging tools • Personalized website content based on the specific visitor segments •
Data visualization using Sap Xcelsius, MS Office (Excel, Word, PowerPoint) and PDF • Tracked and analyzed the contribution of various micro sites associated with the parent websites • Provided user experience information through various proactive custom reports • Provided website audit reports using Maxamine and Google Webmaster Central tools • Created Conversion funnels to track the user behavior towards the goals and objectives • Provided Lead generation metrics and ROI reports • Implemented Onsite Search tracking to understand the user queries more accurately and hence given an insight on content to be placed in the website Role
Web Analytics Consultant Tools
Web Analytics Tools Omniture (Sitecatalyst, Discover)