Hello. The Wikipedia database? http://en.wikipedia.org/wiki/Wikipedia:Database_download
Gastón. 2011/9/6 Tudor Girba <[email protected]> > Thanks everyone for the suggestions. I will try to look into them. > > Cheers, > Doru > > > > On 5 Sep 2011, at 07:04, Lukas Renggli wrote: > > > Stanford has many large graph-like datasets to download: social > > networks, web graphs, peer-to-peer networks, shopping networks, road > > networks, wikipedia networks, etc. > > > > http://snap.stanford.edu/data/ > > > > Lukas > > > > On 5 September 2011 06:24, Guillermo Polito <[email protected]> > wrote: > >> I've used as an example of datamining a dataset about car accidents we > got > >> from here http://www.nhtsa.gov/NASS . > >> > >> Hope it helps :) > >> Guille > >> > >> On Sun, Sep 4, 2011 at 11:58 PM, Hernán Morales Durand > >> <[email protected]> wrote: > >>> > >>> 2011/9/4 Tudor Girba <[email protected]>: > >>>> Hi, > >>>> > >>>> Thanks, but I am looking for data sets that contained graphs of > entities > >>>> with properties, rather then numbers. > >>>> > >>> > >>> Oh, that was just the top of the iceberg, look at cellular interaction > >>> networks like protein-protein interactions, relations between genes > >>> and QTLs, phylogenetic trees, gene ontology classifications, etc. > >>> probably they have more "properties" and relationships than you ever > >>> imagined. Check for example > >>> http://www.nature.com/msb/journal/v3/n1/fig_tab/msb4100166_F2.html or > >>> the one from the Human Interactome here > >>> http://www.blog.republicofmath.com/archives/2005, or > >>> > http://www.biomedcentral.com/content/supplementary/1471-2164-9-96-s6.jpeg > >>> for Gene Ontology "objects". Also PubMed have thousands of related > >>> papers about real case studies. > >>> > >>>> To give an idea, an example would be a set of persons that have > multiple > >>>> properties, such as age or function, and have various kinds of > relationships > >>>> with other persons. Ideally, it should be something containing some > more > >>>> than 5-10 types of entities. > >>>> > >>>> Cheers, > >>>> Doru > >>>> > >>>> > >>>> On 5 Sep 2011, at 02:51, Hernán Morales Durand wrote: > >>>> > >>>>> Hi Tudor, > >>>>> > >>>>> I don't know if you want few data sets or many ones, but for each > case > >>>>> I found "Selecting genes with dissimilar discrimination strength for > >>>>> sample class prediction", report case studies in two real cancer > >>>>> microarray datasets (CAR and LUNG) for gene expression profiling. The > >>>>> Lymphoma case study in humans contains 30 case study genes, you may > >>>>> read about it in "Examples and Applications of Fuzzy Measure > >>>>> Similarity Using GO Terms". In general you can find many case studies > >>>>> from SNP data experiments doing all kind of predictions, for example > >>>>> from protein structure prediction studies that use LiveBench data > sets > >>>>> (http://en.wikipedia.org/wiki/LiveBench), search for "Consensus fold > >>>>> recognition by predicting model quality". > >>>>> If you need more or something more specific just ask :) > >>>>> Cheers, > >>>>> > >>>>> Hernán > >>>>> > >>>>> 2011/9/4 Tudor Girba <[email protected]>: > >>>>>> Hi, > >>>>>> > >>>>>> To show how Moose can support the analysis of various data sets, I > am > >>>>>> looking for a case study containing a complex data structure that > does not > >>>>>> represent a software system, and a set of questions associated with > it. > >>>>>> Ideally, the data should be freely available and it should contain a > set of > >>>>>> entities with various properties and various relationships with > other > >>>>>> entities. > >>>>>> > >>>>>> Anyone has any idea regarding such a case study? > >>>>>> > >>>>>> Cheers, > >>>>>> Doru > >>>>>> > >>>>>> -- > >>>>>> www.tudorgirba.com > >>>>>> > >>>>>> "There are no old things, there are only old ways of looking at > them." > >>>>>> > >>>>> > >>>> > >>>> -- > >>>> www.tudorgirba.com > >>>> > >>>> "Every successful trip needs a suitable vehicle." > >>>> > >>> > >> > >> > > > > > > > > -- > > Lukas Renggli > > www.lukas-renggli.ch > > > > -- > www.tudorgirba.com > > "Reasonable is what we are accustomed with." > > >
