Written by Alexander Raginsky With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining and modeling. The aim of the IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can
Written by Alexander Raginsky While there is no “magic bullet” to make stats and data analysis easy to understand and helpful in our research, there are some things that you can do to avoid pitfalls and help things run smoothly. This top ten list offers a few of those things that I think you will find helpful! 10.Look At
Written by Alexander Raginsky Introduction There has been a renewed interest in machine learning in last few years. This revival seems to be driven by strong fundamentals – loads of data being emitted by sensors across the globe, with cheap storage and lowest ever computational costs! However, not every one around understands what machine learning is. Here are a
Written by Alexander Raginsky In the near future, the following major trends are expected in Big Data analysis: Big Data technology will be based on a mixture of cloud and on-premises computing. Many corporations start migrating from in-house database infrastructures to cloud-based data warehouses. Distributed frameworks for data analytics like MapReduce are turning into distributed managers of resources and
Written by Alexander Raginsky Big data is now a buzzword. Many developers work hard to improve the processing of large amounts of data and many data scientists work on data analysis problems. Nevertheless not all is well in this field. Big data cause big problems: Insufficient data integration. Data are stored in large warehouses and different groups of specialists
Written by Alexander Raginsky Presentation The quantitative analysis of textual data is an object of research in many sectors of linguistics, computer sciences, mathematics and statistics and it is used as a research tool within a number of disciplines such as psychology, sociology, sociolinguistics, education, history, political studies, communication and media studies. The recent evolution of information technologies (IT)
Written by Alexander Raginsky Technology revolutions come in measured, sometimes foot-dragging steps. The lab science and marketing enthusiasm tend to underestimate the bottlenecks to progress that must be overcome with hard work and practical engineering. The field known as “big data” offers a contemporary case study. The catchphrase stands for the modern abundance of digital data from many sources
Written by Alexander Raginsky The University of Potsdam is offering an MSc in Cognitive Systems: Language, Learning, and Reasoning http://www.cogsys.uni-potsdam.de The MSc Cognitive Systems is a two-year Master’s program that covers computational linguistics, machine learning, and knowledge representation and reasoning. The focus of this MSc is on developing intelligent computer systems, and in cognitive modeling. This brings several fields
Written by Alexander Raginsky Registration for PhD-course in Translation Process Research (TPR) is open. Please register until June 15 at
Written by Alexander Raginsky The Center for Research and Innovation in Translation and Translation Technology (CRITT) offers this year its 5th PhD summer course in Translation Process Research (TPR) from August 17 to 21: https://sites.google.com/site/centretranslationinnovation/tpr2015 The course focuses on theoretical aspects of translation process research, on experimental research design and methodology, on data visualization and human translation modelling, and
