I use a (not so beautiful) very short reference:
@Unpublished{Mahout,
key = {Apache Mahout},
title = {Apache {Mahout}, http://mahout.apache.org},
url = {http://mahout.apache.org}
}
--sebastian
On 08.04.2012 23:54, Manuel Blechschmidt wrote:
> Hi Ahmed,
> I used the following BibTex entry in my Master Thesis:
>
> @webpage{mahout,
> Abstract = {Apache Mahout's goal is to build scalable machine learning
> libraries. With scalable we mean: Scalable to reasonably large data sets. Our
> core algorithms for clustering, classfication and batch based collaborative
> filtering are implemented on top of Apache Hadoop using the map/reduce
> paradigm. However we do not restrict contributions to Hadoop based
> implementations: Contributions that run on a single node or on a non-Hadoop
> cluster are welcome as well. The core libraries are highly optimized to allow
> for good performance also for non-distributed algorithms},
> Author = {{Apache Software Foundation}},
> Date-Added = {2011-03-15 13:39:56 +0100},
> Date-Modified = {2011-04-29 14:12:11 +0200},
> Description = { Mahout's goal is to build scalable machine learning
> libraries. With scalable we mean: Scalable to reasonably large data sets. Our
> core algorithms for clustering, classfication and batch based collaborative
> filtering are implemented on top of Apache Hadoop using the map/reduce
> paradigm. However we do not restrict contributions to Hadoop based
> implementations: Contributions that run on a single node or on a non-Hadoop
> cluster are welcome as well. The core libraries are highly optimized to allow
> for good performance also for non-distributed algorithms. Scalable to support
> your business case. Mahout is distributed under a commercially friendly
> Apache Software license. Scalable community. The goal of Mahout is to build a
> vibrant, responsive, diverse community to facilitate discussions not only on
> the project itself but also on potential use cases. Come to the mailing lists
> to find out more.},
> Distribution = {Global},
> Keywords = {apache, apache hadoop, apache hive, apache incubator,
> apache lucene, apache solr, apache taste, apache thrift, apache xml, business
> data mining, cloudbase hadoop, cluster analysis, collaborative filtering,
> data extraction, data filtering, data framework, data integration, data
> matching, data mining, data mining algorithms, data mining analysis, data
> mining data, data mining introduction, data mining pdf, data mining software,
> data mining sql, data mining techniques, data representation, data set, data
> visualization, datamining, distributed solr, feature extraction, fuzzy k
> means, genetic algorithm, hadoop, hadoop cluster, hadoop download, hadoop
> forum, hadoop gfs, hadoop lucene, hadoop pig latin, hadoop sequence file,
> hadoop sequencefile, hierarchical clustering, high dimensional, hive hadoop,
> install solr, introduction to data mining, kmeans, knowledge discovery,
> learning approach, learning approaches, learning methods, learning
> techniques, lucene, machine lea
rning, machine translation, mahout apache, mahout taste, map reduce hadoop,
mining data, mining methods, naive bayes, natural language processing, open
source search engine, open source search engine software, opencms search, org
apache lucene, pattern recognition, pattern recognition and machine learning,
pig apache, pig hadoop, search algorithms, search engine, solr api, solr
faceted, solr open source, solr search engine, solr tika, statistical
consulting, statistical data mining, supervised, text mining, time series data,
unsupervised, web data mining, zookeeper, zookeeper apache},
> Lastchecked = {2011-03-15},
> Robots = {index,follow},
> Title = {Apache Mahout:: Scalable machine-learning and data-mining
> library},
> Url = {http://mahout.apache.org},
> Bdsk-Url-1 = {http://mahout.apache.org}}
>
> /Manuel
>
> On 08.04.2012, at 21:24, Ahmed Abdeen Hamed wrote:
>
>> Hello,
>>
>> Is there a specific format the Mahout developers would like for citing
>> Mahout?
>>
>> Thanks very much,
>>
>> -Ahmed
>
