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Vanessa Vaile

LAK11: Big Data Small Data « Viplav Baxi's Meanderings - 0 views

learnos.wordpress.com/...lak11-big-data-small-data

data lak11 analytics week2 tools connectivism #lak11 #evomlit education

shared by Vanessa Vaile on 23 Jan 11 - No Cached
  • which data is more appropriate - BIG or small
  • most discussion about big data centres on quantity
  • other elements you mention – implication, new models, new decision making approaches – all flow from this abundance of data.
  • ...15 more annotations...
  • Increased data quantity requires new approaches
  • Is small beautiful? Look at the following links. Big Data, Small Data New Age of Innovation (Prahalad) So you like Big Data
  • reading on Insurers and the work done by Levitt and Dubner on Freakonomics tells us clearly that data not earlier thought relevant or causal can be an efficient predictor.
  • Secondly, strategies designed on BIG data
  • may overpower small data strategies
  • Thirdly, BIG data also has BIG impacting factors.
  • Fourthly, actions taken on BIG data will have big consequences,
  • Lastly, if everybody, big or small, started using BIG analytics, to make decisions
  • companies would anyway lose the competitive differentiator that analytics brings to them.
  • Corresponding to the question, how big does BIG need to be, the question I have is - how small really is small.
  • defining patterns that emerge from very small pieces of data (e.g. synchronicity)
  • how tools for SNA and analysis of BIG data can apply to Learning and Knowledge Analytics
  • at the other end it embraces how small changes can cause long term variations
  • not easy to analyze the small data
  • data that is small enough not to be generalizable
Media Lab

http://www.solidq.com/sqj/Documents/2010_July_Issue/SQJ_001_pag._40-45.pdf - 1 views

www.solidq.com/...SQJ_001_pag._40-45.pdf

database tools analysis lak11 analytics connectivism learning

shared by Media Lab on 07 Feb 11 - No Cached
  • Media Lab on 07 Feb 11
     
    Por qué usar Data mining?
Tony Searl

Living Analytics Research Centre - 2 views

www.larc.smu.edu.sg/index.htm

living analytics research centre lak12 data learning

shared by Tony Searl on 26 Jul 11 - No Cached
  • Tony Searl on 26 Jul 11
     
    conduct research on behavioural and social network analytics and behavioural experiments so as to discover and harness the laws of information network evolution for networks of people, organisations
Tony Searl

Gates and Pearson Foundations to Offer Online Courses - NYTimes.com - 1 views

www.nytimes.com/...28gates.html

pearson gates data education learning reform ideas

shared by Tony Searl on 28 Apr 11 - No Cached
  • said the new course materials could provide an important link between the common core standards and the standardized tests that two consortia of states are writing
    • Tony Searl
      Tony Searl on 28 Apr 11
       
      oh noes
  • We could get a one size fits all.”
    • Tony Searl
      Tony Searl on 28 Apr 11
       
      no shit sherlock
  • Tony Searl on 28 Apr 11
     
    The Bill & Melinda Gates Foundation, the world's largest philanthropy, and the foundation associated with Pearson, the giant textbook and school technology company, announced a partnership on Wednesday to create online reading and math courses aligned with the new academic standards that some 40 states have adopted in recent months.
Tony Searl

Unstructured data is worth the effort when you've got the right tools - O'Reilly Radar - 2 views

radar.oreilly.com/...tured-data-analysis-tools.html

data #LAK12 analytics learning

shared by Tony Searl on 07 Feb 12 - No Cached
  • With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
  • entity relation extraction is an important trend.
  • Entity relation extraction helps detect new knowledge in big data.
  • ...1 more annotation...
  • Other trends include detecting sentiment in social data, integrating multiple languages, and applying text analytics to audio and video transcripts.
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