unlocking text & data mining in europe unlocking text & data mining in ...
Recommend Documents
Sep 4, 2013 - Current microarray data mining methods such as clustering, classification, and association analysis heavily rely on statistical and machine ...
Jobs was a co-founder of Apple Inc. B-PER. I-PER. O. O. O. O. B-ORG. I-ORG. Figure 2.2. An example sentence with NER labels in the BIO notation. PER stands.
text data. The need for e ective approaches is dramatically increased nowadays due to ... organizing maps to represent the contents of a text archive in order to.
Association rule mining [1] finds interesting association or correlation relationships among a large set of data items [4]. The discovery of these relationships ...
Data Mining in Large Free Text Document Archieves. Dieter Merkl, A Min Tjoa .... The material contained in this paper is organized as follows. .... Throughout the remainder of the paper we will use the various manual-pages of the NIH.
that of dimensionality reduction [53] in which the documents are trans- ...... On Feature Dis- tributional Clustering fo
language document. This paper examines the use of text summarization within data mining, identifying the potential summarizers have for uncovering inter-.
ACC's business service centre logged all customer-related interactions in a system ... amount of information the system
DATA MANAGEMENT - FREE TEXT MINING. THE CHALLENGE. How does an organisation develop internal and external strategies to
3.2. Kernel Methods. 26. 3.3. Weakly Supervised Learning Methods. 29. 4. Unsupervised Information Extraction. 30. 4.1. R
Data Mining in Large Free Text Document Archieves. Dieter Merkl, A Min Tjoa. Department of Software Technology. Vienna University of Technology.
Data Mining in Large Free Text Document Archieves. Dieter Merkl, A Min Tjoa .... The material contained in this paper is organized as follows. .... Throughout the remainder of the paper we will use the various manual-pages of the NIH.
In this paper we present case studies in conducting integrated data and text mining activities ... for the dynamic analysis and interpretation of bioinformatics data.
text. The wording is therefore highly variable: the same meaning can be ..... An analysis of texts in the domain is useful to organize the ontology and find relevant.
exemplify advances in text and data mining methods that have a demonstrated impact on a wide range of applications. Work presented in this session includes ...
Feb 22, 2010 - mention influenza are harvested over a 24-week period, 5 October .... consists of unstructured collections of documents rather than structured databases. .... Table 2 lists the seven most prolific flu bloggers and their degree (In, Out
half of all publications and patents in the text and data mining field. 1 ..... âThe benefits of big data analytics extend well beyond the uses by businesses.
Friedricdh Schiller University Jena ... University of Maryland, Baltimore County .... In 2006, a paper in the International Journal of Information Technology ...
sentences and paragraphs and other units of ordinary language exposition. ... that contain the most comprehensive and authoritative data and present the ... bondsâ¦â ââ¦three major 20S proteasome activities (chymotrypsin- like, trypsin-like, an
A company desires to know the customer opinion in order to adapt and im- prove the quality of its product. In the politic domain, a party is interested in predicting ...
Download PDF ... It integrates text mining and social network analysis in order to identify new ... Breast cancer Data mining Text mining Network analysis ...
mouse movements, application pathways) and text collection (email, documents, .... tem, web browser and desktop application. ... ing system level, native C# .
Untangling text data mining, Hearst (1999) tackled the problem of clarifying ..... http://www.stsci.edu/stsci/meetings/lisa3/albrechtr1.html (Accessed 20 August.
unlocking text & data mining in europe unlocking text & data mining in ...
know-about-data-mining-but-were-afraid-to-ask/255388/ ... to accelerate their research and make new discoveries by analy
UNLOCKING TEXT & DATA MINING IN EUROPE
TDM HELPS AND ENSURES EUROPE’S COMPETITIVENESS AND FUTURE PROSPERITY
WHAT IS TDM? SIMPLE DEFINITION OF TDM
TDM can be used by all: students, public institutions, small or large businesses, to do speculative, innovative things. It can be used by doctors to find new cures. It can be used by librarians and teachers to educate. Researchers and businesses should be able to use information they already have legal access to. TDM will be harmed by changes to EU copyright rules that would chill new research by not allowing all users to learn from materials they have already paid to read.
TDM (TEXT & DATA MINING) IS A TECHNOLOGY THAT USES DATA FROM LAWFULLY OBTAINED MATERIAL, ANALYSING IT TO FIND NEW PATTERNS AND ACHIEVE NEW INSIGHTS IN LINE WITH EU DATA PROTECTION RULES.
TDM-led ideas and solutions are key for Europe’s innovative companies, particularly SMEs: if TDM becomes too costly, this would put European innovators at a massive disadvantage compared to North America and Asia.
TDM IS CRITICAL FOR THE FUTURE TDM USES ANOMALY DETECTION, ASSOCIATION LEARNING, CLUSTER DETECTION, CLASSIFICATION AND REGRESSION.1 MICROSOFT’S EXCEL AND POWER BI INCLUDE TECHNOLOGY AND TOOLS THAT ENABLE RESEARCHERS AND BUSINESSES TO INNOVATE AND MAKE NEW DISCOVERIES THROUGH TDM: Hej Hallo
Ciao
Hola
Hello
Bonjour
TDM is part of machine learning. It helps tackle fraud, 3 control driver-less cars4 and reduce unnecessary readmissions to hospitals. 5
привете
TDM can help preserve Europe's vast cultural heritage data and support instant language translators.2
TDM supports educators. It can be used to predict learning disabilities in school-age children.6
TDM has already been used to discover how existing drugs can be used to treat other conditions.
TDM can be used to anticipate Adverse Drug Reaction7 and thus save millions of lives, and billions of euros in healthcare costs.
TDM FACTS & FIGURES WE NEED TDM BECAUSE EVERY YEAR MORE AND MORE INFORMATION IS PRODUCED AND ONLY MACHINES ARE QUICK ENOUGH TO HELP US LEARN FROM IT ALL. www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
www
The internet has indexed about
www
www
www
www
www
www
www
www
www
www
www
40 BILLION WEBPAGES.8
There are around 28,000 active scholarly peerreviewed journals, collectively publishing about
1.8–1.9 MILLION ARTICLES A YEAR.10
YEAR 3256 JAN
FEB
It would take you over
1240 YEARS
MAR
APR
More than
70,000 PAPERS
AUG
DEC
just to count the pages indexed on the internet.
9
have been published on a single protein, a tumour suppressor called p53.11
COPYRIGHT EXCEPTIONS ARE IMPORTANT FOR EU RESEARCHERS AND BUSINESSES ALIKE
1. 2. 3.
With reduced restrictions to TDM, researchers and businesses will be able to browse scientific content from a wider pool of sources. A copyright exception would allow them to use text and data mining methods to accelerate their research and make new discoveries by analysing large amounts of data with breakthrough technologies.12 Universities and SMEs won’t be charged additional fees to simply learn from the analysis of scientific publications. By saving money, they will also become more competitive globally and increase their chances of making breakthrough discoveries.
WHAT NEEDS TO HAPPEN? The EU should exempt TDM from European copyright law for all users, for both commercial and non-commercial scientific purposes. It should ensure authors aren’t short-changed but that old copyright rules aren’t allowed to present a barrier to modern research techniques and the pursuit of knowledge. (Paraphrased from Hargreaves conclusion, pg 68)13
HELP US KEEP EUROPE COMPETITIVE IN THE PRODUCTIVE USE OF TDM Microsoft supports a legislative environment that enables everyone to draw value from TDM and fosters creativity and innovation in Europe. www
