Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data

Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, July 1-3, 2013. Proceedings by Andreas Holzinger

Publisher: Springer Berlin Heidelberg, Publisher: Imprint: Springer in Berlin, Heidelberg

Written in English
Cover of: Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data | Andreas Holzinger
Published: Pages: 442 Downloads: 25
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Subjects:

  • Data Mining and Knowledge Discovery,
  • Database management,
  • Information storage and retrieval systems,
  • Information organization,
  • User Interfaces and Human Computer Interaction,
  • Information retrieval,
  • Computer science,
  • Data mining,
  • Education,
  • Computers and Education,
  • Artificial intelligence,
  • Artificial Intelligence (incl. Robotics)

About the Edition

This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.

Edition Notes

Statementedited by Andreas Holzinger, Gabriella Pasi
SeriesLecture Notes in Computer Science -- 7947
ContributionsPasi, Gabriella, SpringerLink (Online service)
Classifications
LC ClassificationsQA76.9.U83, QA76.9.H85
The Physical Object
Format[electronic resource] :
PaginationXVI, 442 p. 136 illus.
Number of Pages442
ID Numbers
Open LibraryOL27044279M
ISBN 109783642391460

the ”big data” problems mentioned above: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with computational intelligence - by bringing the human into the loop. This approach appreciates both what humans can do best and what computers can do best. A good example for. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Third International Workshop, HCI-KDD , Held at SouthCHI , Maribor, Slovenia, July , , Proceedings - Lecture Notes in Computer Science (Paperback). All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital. The Evolution of Human-Computer Interaction. We observe that Human-Computer Interaction (HCI) has grown out of and been traditionally focused on the interactions between humans and computers as artefacts, i.e., devices to be interacted with. Big Data: Computing In Machine Learning and Knowledge Discovery in Databases, edited by.

  Centrally-structured data • Schemas in Hive Metastore Relational data • Highly-structured data Hive, Impala, Spark SQL Oracle, Teradata Exploration (known and unknown questions)   Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data by Andreas Holzinger (Editor); Gabriella Pasi . of two areas may be of great help here: Human–Computer Interaction (HCI)andKnowledge Discovery/DataMining(KDD),withthegoal of supporting human intelligence with machine learning. Mapping higher dimensional data into lower dimensions is a major task in HCI, and a concerted effort including recent advances from graph-theory and al-. Cognitive Human-Computer Interaction - overview. Cognitive systems learn and interact naturally with humans to extend what either humans or machine could do on their own. Cognitive systems help human experts make better decision by penetrating the complexity of Big Data.

Human-Computer Interaction and Knowledge Discovery in Complex Unstructured Big $ Human-Computer Interaction: Human-Centred Design Approaches Methods Tools and.

Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data by Andreas Holzinger Download PDF EPUB FB2

Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data Third International Workshop, HCI-KDDHeld at SouthCHIMaribor, Slovenia, July Book Title Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data Book Subtitle Third International Workshop, HCI-KDDHeld at SouthCHIMaribor, Slovenia, July, Proceedings Editors.

Andreas Holzinger; Gabriella Pasi; Series Title Information Systems and Applications, incl. Internet/Web, and. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Human-Computer Interaction and Knowledge Discovery in Complex Data (Lecture Notes in Computer Science ()) [Holzinger, Andreas, Pasi, Gabriella] on *FREE* shipping on qualifying offers.

Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data (Lecture Notes in Computer Science ()). Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, Lecture Notes in Computer Science, LNCS Andreas Holzinger, Gabriella Pasi Institute of Interactive Systems and Data Science ()Author: Andreas Holzinger, Gabriella Pasi.

Get this from a library. Human-computer interaction and knowledge discovery in complex, unstructured, big data: third International Workshop, HCI-KDDheld at SouthCHIMaribor, Slovenia, JulyProceedings.

[Andreas Holzinger; Gabriella Pasi;] -- This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery. HCI-KDD Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data pp | Cite as Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics.

Human-Computer Interaction With Big Data Analytics: /ch Big Data has been playing a vital role in almost all environments such as healthcare, education, business organizations and scientific research. Big data. Yildirim P., Ekmekci I.O., Holzinger A. () On Knowledge Discovery in Open Medical Data on the Example of the FDA Drug Adverse Event Reporting System for Alendronate (Fosamax).

In: Holzinger A., Pasi G. (eds) Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. HCI-KDD   In: Holzinger A., Pasi G. (eds) Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. HCI-KDD Lecture Notes in Computer Science, vol   Boselli R., Cesarini M., Mercorio F., Mezzanzanica M.

() Inconsistency Knowledge Discovery for Longitudinal Data Management: A Model-Based Approach. In: Holzinger A., Pasi G. (eds) Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. HCI-KDD Lecture Notes in Computer Science, vol Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data (Lecture Notes in Computer Science) by Andreas Holzinger, Gabriella Pasi.

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Click and Collect from your local Waterstones or get FREE UK delivery on orders over £ Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Third International Workshop, HCI-KDDHeld at SouthCHIMaribor, Slovenia, July 1. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets.

In A. Holzinger & G. Pasi (Eds.), Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Vol.

Lecture Notes in Computer Science (pp. Springer-Verlag Berlin Heidelberg. One of the grand challenges in our digital world are the large, complex, and often weakly structured data sets and massive amounts of unstructured information.

This “big data” challenge is most evident in biomedical informatics: The trend toward precision medicine has resulted in an explosion in the amount of biomedical data sets generated. Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field.

Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, Design Principles for Effective Knowledge Discovery from Big Data.

to deal with complex, sizeable data sets (i.e., big data). scheme that takes the unstructured medical data as input and. Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner.

Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared.

We are facing a flood of big data – most of it “unstructured” and weakly structured. The Task Force HCI-KDD pursues an ultimate goal: to combine the best of two worlds: Knowledge Discovery, dealing with computational intelligence and Human–Computer Interaction, dealing with human intelligence.

Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Third International Workshop, HCI-KDDHeld at SouthCHIMaribor, Slovenia, JulyProceedings, - Health systems worldwide are challenged by big and complex sets of heterogeneous, high-dimensional, complex data and increasing amounts of unstructured information.

Due to the fact that biomedicine, health and the life sciences are turning into a data intensive science, machine learning can help to more evidence-based decision-making and. This special issue in BMC Bioinformatics (> Open Access) is aimed at reporting on recent research advances on theories and methods including Human-Computer Interaction & Knowledge Discovery/Data Mining (HCI-KDD), with focus on big data and complex data from the biomedical domain.

The cross-domain integration and appraisal of different fields. Get this from a library. Interactive knowledge discovery and data mining in biomedical informatics: state-of-the-art and future challenges.

[Andreas Holzinger; Igor Jurisica;] -- One of the grand challenges in our digital world are the large, complex, and often weakly structured data sets and massive amounts of unstructured information. This 'big data' challenge is most. Knowledge Discovery from complex networks (e.g.

large social networks, large biomedical data, protein-protein networks, epigenetics data etc.) Interactive Content Analytics from “unstructured” text data (e.g.

computational topology in text mining, text analytics, NLP, linguistics etc.). Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data (pp. Springer Berlin Heidelberg, Abstract > LINK. In the last years, the growing diffusion of IT-based services has given a rise to the use of huge masses of data.

However, using data for analytical and decision making purposes requires to. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, pp. Springer Berlin Heidelberg, 5) Brown, John NA, Bonifaz Kaufmann, Florian Bacher, Christophe Sourisse, and Martin Hitz.

"" Oh, I Say, Jeeves!” A Calm. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDDHeld at SouthCHIProceedings Pages from our own research and development experiences with big data problems from various federal agencies, and we illustrate each principle with our own experiences and recommendations.

INTRODUCTION Knowledge Discovery from Data (KDD) [1] refers to a set of activities designed to extract new knowledge from complex datasets. : Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Third International Workshop, HCI-KDDHeld at SouthCHI In this paper, we introduce a cloud-based knowledge discovery system that infers the real-time and fine-grained air quality information throughout a city based on the (historical and real-time) air quality data reported by existing monitor stations and a variety of data sources observed in the city, such as meteorology, traffic flow, human.ARCOMEM is a project about memory institutions like archives, museums, and libraries in the age of the Social Web.

Memory institutions are more important now than ever: as we face greater economic and environmental challenges we need our understanding of the .