White Papers

Useful white papers from KNIME.

2014

Geolocalization of KNIME Downloads as a static Report and as a Movie

2013

Big data, Smart Energy, and Predictive Analytics

Analyzing the Web from Start to Finish: Knowledge Extraction from a Web Forum using KNIME

2012

Usable Customer Intelligence from Social Media Data: Clustering the Social Community

Usable Customer Intelligence from Social Media Data: Network Analytics meets Text Mining

The KNIME Text Processing Feature: An Introduction

2011

Social Media, Recommandation Engines and Real-Time Model Execution with KNIME and ADAPA

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  • Geolocalization of KNIME Downloads as a static Report and as a Movie (2014)

    This whitepaper extracts IP addresses from a web log file and transforms them to points on a world map, producing a report with images and movie of the daily IP addresses. Example workflows are available on the EXAMPLES Server under 008_WebAnalytics_and_OpenStreetMap.

  • Big data, Smart Energy, and Predictive Analytics (2013)

    This whitepaper focuses on smart energy data from the Irish Smart Energy Trials. The first goal is to identify a few groups with common electricity behavior to create customized contract offers. The second goal is a reliable prediction of the overall energy consumption using time series prediction techniques.

  • Analyzing the Web from Start to Finish: Knowledge Extraction from a Web Forum using KNIME (2013)

    This whitepaper covers all steps to extract knowledge from a web forum:crawls the forum and downloads the data, calculates some simple statistics, detects the discussed topics, and shows the experts for each topic.

  • Usable Customer Intelligence from Social Media Data: Clustering the Social Community (2012)
    This whitepaper takes the next step beyond text mining and network analytics to perform clustering on the newly created insight.
  • Usable Customer Intelligence from Social Media Data: Network Analytics meets Text Mining (2012)
    Text mining and network analytics are combined here to better position negative and positive users in context with their weight as influencers or followers inside the discussion forum.
  • The KNIME Text Processing Feature: An Introduction (2012)
    This technical report explains the fundamentals of text processing feature in KNIME along with detailed descriptions and examples of all key node categories.
  • Social Media, Recommandation Engines and Real-Time Model Execution with KNIME and ADAPA (2011)
    This whitepaper shows an example of how advanced analytics combined with real-time execution can provide an end to end solution from model development to operational deployment and real time execution within any business process.