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 <
guillermopolito@gmail.com> 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, Hern�n Morales Durand
>> <
hernan.morales@gmail.com> wrote:
>>>
>>> 2011/9/4 Tudor Girba <
tudor@tudorgirba.com>:
>>>> 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, Hern�n 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,
>>>>>
>>>>> Hern�n
>>>>>
>>>>> 2011/9/4 Tudor Girba <
tudor@tudorgirba.com>:
>>>>>> 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
>