PUBLIC MARKS with tag datamining

Borrowing some data from the source below this could be 2.1 mSv for the year to 11 March 2012. Well, the same as the UK average but well above the Japanese recommended  limit.

Suppose a pipeline delivers an endless sequence of nonnegative integers at a steady rate of one number every t time units. We want to build a device—call it a stream gauge—that intercepts the stream and displays answers to certain questions about the numbers.

Pattern is a web mining module for the Python programming language.

Chapter 1 Data Mining

Chapter 2 Large-Scale File Systems and Map-Reduce

Chapter 3 Finding Similar Items

Chapter 4 Mining Data Streams

Chapter 5 Link Analysis

Chapter 6 Frequent Itemsets

Chapter 7 Clustering

Chapter 8 Advertising on the Web

Chapter 9 Recommendation Systems

karl15 [Moderator] Yesterday 07:54 PM16

Another small tracking system when you are using different computers and/or sending emails from different contexts.

It requires a burden though, sending yourself copy of your emails.

the email will contain a Received: field, that you can extract with ip address from where the mail has been sent.

You can imagine a process which put yourself in bcc and then delete the email. A bit hacky whacky but could work.

“contrary to traditional assumptions, the uniquely human faculty of reason (conscious, intelligent, rational thought) requires very little computation, but that the unconscious sensorimotor skills and instincts that we share with the animals require enormous computational resources”

Now, having logs of the channel reaching many megabytes, I was curious as to the text statistics produced by this channel, who has what reading age, and how much they’ve talked in comparison to other people.

Searchable is a toolkit for Lucene that harnesses the power of annotations to specify what properties to index and how to treat them.

This small mashup uses YQL to combine the power of Flickr and Yahoo! Placemaker. Copy and paste some text into the textbox below and click the button — application will first geo-locate all places in the text, and then will try to find photographs, published under Creative Commons license, which were geotagged at or near found places.

Reality Mining defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.

The original Reality Mining experiment is one of the largest mobile phone projects attempted in academia. Our research agenda takes advantage of the increasingly widespread use of mobile phones to provide insight into the dynamics of both individual and group behavior. By leveraging recent advances in machine learning we are building generative models that can be used to predict what a single user will do next, as well as model behavior of large organizations.

This marks a significant moment for Google Apps, because Valeo has 30,000 Internet-connected employees, making this one of the largest enterprise deployments of Google Apps to date. Valeo is moving to the cloud

Bientôt, Google Suggests powered by Valeo. On n'aura même plus besoin de faire de la veille techno.