From e734470f5608d294f61826c5ffcb212db09c50e7 Mon Sep 17 00:00:00 2001 From: Can Ibanoglu Date: Sun, 27 Oct 2013 02:02:59 +0300 Subject: [PATCH] Added a couple of database, datamining and information retrieval books --- free-programming-books.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/free-programming-books.md b/free-programming-books.md index bddd8f6dd..af0a8413f 100644 --- a/free-programming-books.md +++ b/free-programming-books.md @@ -197,6 +197,8 @@ ####Database * [Database Fundamentals](http://public.dhe.ibm.com/software/dw/db2/express-c/wiki/Database_fundamentals.pdf) (PDF) * [Database-backed Web Sites](http://philip.greenspun.com/wtr/dead-trees/) +* [Foundations of Databases](http://webdam.inria.fr/Alice/) +* [The Theory of Relational Databases] (http://web.cecs.pdx.edu/~maier/TheoryBook/TRD.html) ####Networking * [High-Performance Browser Networking](http://chimera.labs.oreilly.com/books/1230000000545/index.html) @@ -257,12 +259,16 @@ ####Information Retrieval * [Introduction to Information Retrieval](http://nlp.stanford.edu/IR-book/information-retrieval-book.html) +* [Information Retrieval: A Survey](http://www.csee.umbc.edu/csee/research/cadip/readings/IR.report.120600.book.pdf) (PDF) ####Datamining * [Data Mining and Analysis: Fundamental Concepts and Algorithms](http://www.dataminingbook.info/DokuWiki/doku.php) (Draft) * [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html) * [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) * [A Programmer's Guide to Data Mining](http://guidetodatamining.com/) (Draft) +* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining) +* [Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf) (PDF) +* [Data Mining Algorithms In R](http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R) ####Machine Learning * [Programming Computer Vision with Python](http://programmingcomputervision.com/) @@ -875,7 +881,7 @@ See also [TeX](#tex) * [R for spatial analysis](http://www.columbia.edu/~cjd11/charles_dimaggio/DIRE/resources/spatialEpiBook.pdf) (PDF) * [Learning Statistics with R](http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/) * [R language for Programmers](http://www.johndcook.com/R_language_for_programmers.html) - +* [R Programming](http://en.wikibooks.org/wiki/R_Programming) ###Racket * [Programming Languages: Application and Interpretation](http://cs.brown.edu/courses/cs173/2012/book/index.html)