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Thieme Hennis

Credit Scoring, Data Mining, Predictive Analytics, Statistics, StatSoft Electronic Text... - 0 views

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    This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.
Thieme Hennis

InnovationLabs Publications: Innovation Metrics - innovation process measurement - 0 views

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    waar in het innovatietraject kan PEERS een rol spelen, en hoe meet je dan het succes van PEERS?
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    Whitepaper about innovation and measuring it. # Introduction # Innovation Methodology # The Innovation Funnel # Stage -1: Strategic Thinking # Stage 0: Portfolios & Metrics # Stage 1: Research # Stage 2: Insight # Stage 3: Ideas # Stage 4: Targeting # Stage 5: Innovation Development # Stage 6: Market Development # Stage 7: Sales # Inputs, Process & Output # Conclusion # References
Thieme Hennis

Fringe Contacts: People-Tagging for the Enterprise - 0 views

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    Tagging has arisen as way to enable users to contribute to a loose taxonomy characterizing web pages, pictures, products and other things. We propose tagging people in order to help individuals keep track of each other while contributing to a loose characterization of their friends and colleagues. "Fringe Contacts" is a reference system designed to test whether people- tagging is a viable and useful approach.
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    people tagging.. we need that too?
Thieme Hennis

The Future of Search: Social Relevancy Rank - 0 views

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    search results according to your network. using peers & friends as a reference.
Thieme Hennis

Community Blogging ~ Stephen's Web ~ by Stephen Downes - 0 views

  • Now I want to draw out from these descriptions two major elements that I think are probably definitive of community. First of all, the idea that there's a network. Now a lot of people capture that by saying people can interact, people communicate, there's a place for discussion. But the central thing here is that there is, in some sense, a relation among the people; it's not mere proximity. But they are connected in some way. And the second thing, and the important thing, in my mind, is semantics, the idea that these relations are about something, that the people in the community share a common interest, common values, a set of beliefs, an affinity for cats, or beekeeping.
  • If we think of meaning as use then what is the meaning of a blog post? What does a blog post talk about? It's not contained in the post. Rather, it's contained in the network of relations in which the post finds itself. In the referrers. In the use. In the connections with other things. In evaluations of the post. A whole variety of different connections, different relations, are possible which could, and in my opinion will, be used to characterize an individual post.
  • Now why does this matter? It matters this way. If we're deriving meaning and connections and communities in a random fashion everything flows from the big spike. Scoble was up here, saying, "My friend was saying, I want you to link to me." And, he said, "That's not how it works. Create something of value," he said. Right? "And I will decide whether it's worth linking to." That's the big spike telling the long tail what to do. Isn't it? That's what happens when meaning derives from the centre. And if you push it, that sort of organization and arrangement requires control. Look at Technorati Tags. Now, we've already gotten some tag spam, and we've already gotten some structured vocabulary in Technorati Tags, and eventually somebody will come out and propose and ontology of Technorati Tags, a taxonomy, and they will say, "Everyone should do it this way." And anyone who doesn't, well, they're being chaotic, they're being disruptive. But if the idea emerges from the pattern of connections between individuals there's no one in control. Scoble can't tell me what to twrite in my blog and it doesn't matter whether he links to me or I link to him. And the dynamics in such a network are completely different. This works if you have freedom. This works if nobody tells you how to tag. This creates order and relevance and meaning through diversity, not conformity. Two very different pictures of community.
  • ...9 more annotations...
  • "Well, the most popular form of XML in the world today is RSS, there is no standard
  • The idea here is that the community is defined as the relations between the members where the relations have semantical value, where that semantical value is defined by the relations. And I know it sounds like bootstrapping, but we've been doing that throughout history. People exist in relations to other people, to things, to resources, even to spaces.
  • What has to happen is this mass of posts has to self-organize in some way. Which means there has to be a process of filtering. But filtering that is not just random. And filtering that isn't like spam blocking. Filtering has to be a mechanism of determining what it is we want, because it's a lot easier to determine what we want than what we don't want.
  • The first pass at this I described in a paper a couple of years ago called "The Semantic Social Network" and the idea, very simply, is we actually attach author information to RSS about blog posts. It kills me that this hasn't happened. Because this is a huge source of information. And all you need to do is, in the 'item', in, say, the 'dc:creator' tag, put a link to a FOAF file. And all of a sudden we've connected people with resources, people with each other and therefore, resources with each other. And that gives me a mechanism for finding resources that is not based on taxonomies, is not based on existing knowledge and existing patterns, but is based on my placement within a community of like-minded individuals.
  • Now that semantic social network is just a first pass at this. We want to create these connections on many levels. And so what we want is metadata, not simply created by the author of a post, but created by readers of posts. This is what I call 'third party metadata'. Third party metadata -- we're beginning to see some of this out there in the blogosphere, in a small, limited and usually site-based way, right? Links, references, readings, annotations, classifications, context of use. But it can't be site-based. Because that doesn't create a network. It might as well be random.
  • Now the way this should work, and the way I've proposed for this to work in the educatiuonal community, is that as much of this third party metadata as possible is created through automatic means.
  • And so we get enormously rich descriptions through very simple mechanisms of automatic classification.
  • My contention is that instead of the spike-based power-law-based Instapundit-based network, that when we get something like the semantic social network, and we will get something like the semantic social network, because it's very simple to do, patterns of organization will be created. In the field of neural networks and connectionism they tyem 'clusters', you get a cluster phenomenon where we're not creating communities around a specific word, or specific concept, but the community itself emerges as being created by and defined as that particularly dense set of connections.
  • I've set up a system called Edu_RSS which is a very primitive first pass at this, and the idea here, Edu_RSS is an aggregator, there should be many instances of Edu_RSS, in the ideal world everybody would have something like this on their desktop, and it pulls in the link metadata, but it also pulls in rating metadata, and it doesn't pull it in from the entire world, the way Technorati does or the way Blogdex does, it pulls it in from my community, my network of friends. And if you set up the network in this way you can actually stop worrying about searching, because the network itself becomes the search where you go through layers of linking and so what comes out the other end is stuff that will be of interest to you. And if you're finely grained enough at the output end then you can get a very precise set of inputs. But the thing is, this set of inputs comes from the entire blogosphere of four million people rather than the randomly chosen top one hundred. The community is the network. There is no centralized place that constitutes community, there are only people, and resources, that are distributed, that are all acting on their own behalf and in their own interests - if you ever read Marvin Minsky's "The Society of Mind", it's like that - where the network consists of a set of self-selected relations using a variety of contextual information, that I've defined as third party metadata, to establish meaning, and where this meaning not only defines the community but emerges from the community.
    • Thieme Hennis
       
      true! handig om dit even door te spitten, ook om fundamentele beslissingen over PEERS te onderbouwen.
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    explanation about blogging, network creation, and meaning in the blogosphere
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    interessant: Downes is "anti-tagging", omdat woorden 1-dimensionaal zijn en het netwerk (wat de eigenlijke betekenis van een concept maakt) doorkruist..
Thieme Hennis

Connectedness: Annotated Bibliography of Social Network Analysis for Business - 0 views

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    relevant book list, described per category
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    Bibliography categorized in the following categories; * Social and personal networks in organizations * Communities of practice * Networks, business, and knowledge management * Organizational networks research * The science of networks * SNA textbooks * Brief readings and articles * Websites and blogs
Thieme Hennis

Wolfram Alpha Computes Answers To Factual Questions. This Is Going To Be Big. - 0 views

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    search engine that computes the answers.. so no search engine, nut computational knowledge engine.
Thieme Hennis

Knol: a unit of knowledge - 0 views

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    interessante Google tool. heel anders dan wikipedia.
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    A knol is an authoritative article about a specific topic. Other than Wikipedia, Google Knols explicitly show the author in order to be able to judge the value of the contribution. There can be different knols on one subject.
Thieme Hennis

Get your startup company listed fast on KillerStartups.com - The Next Web - 0 views

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    misschien als we een leuke spinoff hebben, of gewoon PEERS wat internationaler op de kaart willen zetten.
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    Many websites where you can register your new Internet Startup.
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