Bits 'n Pieces on Big Data
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Bits 'n Pieces on Big Data
Innovative information and insight into Big Data (if you like the content, please consider donating to my bitcoin address #3Pjof6N9xRAYXXSPZ4EAFLfHGn51ZdPcxi)
Curated by onur savas
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Algorithms as Social Control

Algorithms as Social Control | Bits 'n Pieces on Big Data | Scoop.it
In the aftermath of the infamous “emotional manipulation” study, and building on last year’s “Theorizing Big Data” plenary, we are excited to announce this keynote panel on algorithmic social control....
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Algorithmia Launches With More Than 800 Algorithms On Its Marketplace

Algorithmia Launches With More Than 800 Algorithms On Its Marketplace | Bits 'n Pieces on Big Data | Scoop.it

Algorithmia, the startup that raised $2.4 million last August to connect academics building powerful algorithms and the app developers who could put them to use, just brought its marketplace out of private beta.


Via ukituki
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Data Mining and Analysis: Fundamental Concepts and Algorithms [book, free PDF]

Data Mining and Analysis: Fundamental Concepts and Algorithms [book, free PDF] | Bits 'n Pieces on Big Data | Scoop.it

"Fundamentals of Data Mining Algorithms"

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If Algorithms Know All, How Much Should Humans Help?

If Algorithms Know All, How Much Should Humans Help? | Bits 'n Pieces on Big Data | Scoop.it
Data science offers a lot of promise in many fields, but for now, it seems wise to keep human beings in the loop.
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Governing Algorithms: A Provocation Piece

Governing Algorithms: A Provocation Piece | Bits 'n Pieces on Big Data | Scoop.it

"Algorithms have developed into somewhat of a modern myth. They “compet[e] for our living rooms” (Slavin 2011), “determine how a billion plus people get where they’re going” (McGee 2011), “have already written symphonies as moving as those composed by Beethoven” (Steiner 2012), and “free us from sorting through multitudes of irrelevant results” (Spring 2011). Nevertheless, the nature and implications of such orderings are far from clear. What exactly is it that algorithms “do”? What is the role attributed to “algorithms” in these arguments? How can we turn the “problem of algorithms” into an object of productive inquiry? This paper sets out to trouble the coherence of the algorithm as an analytical category and explores its recent rise in scholarship, policy, and practice through a series of provocations.

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You can download the paper form the very link.

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Efficient discovery of overlapping communities in massive networks

Efficient discovery of overlapping communities in massive networks | Bits 'n Pieces on Big Data | Scoop.it

Detecting overlapping communities is essential to analyzing and exploring natural networks such as social networks, biological networks, and citation networks. However, most existing approaches do not scale to the size of networks that we regularly observe in the real world. In this paper, we develop a scalable approach to community detection that discovers overlapping communities in massive real-world networks. Our approach is based on a Bayesian model of networks that allows nodes to participate in multiple communities, and a corresponding algorithm that naturally interleaves subsampling from the network and updating an estimate of its communities. 

onur savas's insight:

Prof. Blei is the one who made the topic discovery algorithm Latent Dirichlet Allocation (LDA) popular: http://www.cs.princeton.edu/~blei/lda-c/

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