By Michael R. Berthold (auth.), João Gama, Elizabeth Bradley, Jaakko Hollmén (eds.)
This e-book constitutes the refereed court cases of the tenth foreign convention on clever information research, IDA 2011, held in Porto, Portugal, in October 2011. the nineteen revised complete papers and sixteen revised poster papers resented including three invited papers have been conscientiously reviewed and chosen from seventy three submissions. All present elements of clever info research are addressed, relatively clever aid for modeling and studying advanced, dynamical structures. The papers supply clever aid for realizing evolving clinical and social structures together with information assortment and acquisition, reminiscent of crowd sourcing; info cleansing, semantics and markup; looking for info and assembling datasets from a number of assets; information processing, together with workflows, mixed-initiative information research, and making plans; info and knowledge fusion; incremental, mixed-initiative version improvement, checking out and revision; and visualization and dissemination of effects; etc.
Read or Download Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings PDF
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Extra info for Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings
Component planes, comparison and cluster maps can be used as visualization tools. The results help to understand qualitatively the power consumption of the Campus buildings and can serve as a basis for more speciﬁc analyses. They reveal that the number of diﬀerent electrical behaviors in the Campus buildings is 6. Considering the power demand, it can be concluded that there are 5 diﬀerent proﬁles. An identical tariﬀ should be applied for buildings within the same cluster. If it is possible, these buildings should also be grouped into a single billing point to take advantage of similar behaviors.
Calculate the centrality). Although there is a rich and well established methodology for the ﬁrst and third steps (see  for a NLP review, and  for a review of network theory) they have never been combined. In a sense, the intuitive and simple second step is our major contribution here. In the remainder of this paper we review related work (section 2) and provide more detail on our method (section 3) which we tested (section 4) on the Enron database . 2 Related Work In  the authors modeled the spread of information in an email correspondence network essentially as a random branching process with oﬀspring distributed as the number of individuals to whom a person sends emails.
Bradley, and J. ): IDA 2011, LNCS 7014, pp. 34–42, 2011. c Springer-Verlag Berlin Heidelberg 2011 Information Flow: A Content-Structure Perspective 35 or ”ﬂattened” interaction data . For example, in  the authors studied communications in a modern organization by analyzing a data set with millions of electronic mail messages, exchanged between many thousands of employees, to explore the role of boundaries between individuals in structuring communications within the ﬁrm. ). On the other hand, research in natural language processing (NLP) has focused on analyzing documents in corpora without taking into consideration the fact that they are actually representing interactions of some sort (see  for a review of natural language processing).