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\author{Mart Lubbers\\ 0651371972\\ s4109503\\
		\href{mailto:mart@martlubbers.net}{mart@martlubbers.net}}
\title{Non IT configurable adaptive data mining solution used in transforming
	   raw data to structured data\\\small A proposal}
\date{\today}

\begin{document}
\maketitle
\tableofcontents
\newpage
\section{Supervisors}
\begin{center}
	\begin{tabular}{cc}
		Franc Grootjen	& Alessandro Paula\\
		Radboud University Nijmegen	& Hyperleap\\
		Nijmegen, The Netherlands	& Nijmegen, The Netherlands\\
		\href{mailto:f.grootjen@psych.ru.nl}{f.grootjen@psych.ru.nl} & 
			\href{mailto:aldo@hyperleap.nl}{aldo@hyperleap.nl}
		\\
		\\
		Signature	& Signature\\
		\\
		\rule{2.5cm}{0.4pt}	& \rule{2.5cm}{0.4pt}\\
	\end{tabular}
\end{center}

\section{Abstract\tiny 73 words}
Raw data from information providers is usually hard to interpret for a software
solution and the conversion of raw data to structured data is usually done by
hand.  This project aims towards an adaptable, configurable data transformation
program optionally in combination with a webcrawler that can perform the
conversion from raw data to structured data.  This is all done in under
supervision of Franc Grootjen and Alessandro Paula and under commissioned by
Hyperleap.

\section{Project Description\tiny 484 words}
\subsection{Research Question and Motivation}
The main research question is: \textit{How can we make an adaptive, autonomous
and programmable data mining program that can be set up by a non IT
professional which is able to transform raw data into structured data.}\\
Hyperleap is a small company that is specialized in infotainment
(information+entertainment) and administrates several websites which bundle
information about entertainment in a ordered and complete way.  Right now, most
of the data input is done by hand and takes a lot of time to type in.

\subsection{Aim}
The practical goal and aim of the project is to make a crawler(web or other
document types) that can autonomously gather information after it has been
setup by a, not necessarily IT trained, employer via an intuitive interface.
Optionally the crawler shouldn't be susceptible by small structure changes in
the website, be able to handle advanced website display techniques such as
javascript and should be able to notify the administrator when the site has
become uncrawlable and the crawler needs to be reprogrammed for that particular
site. But the main purpose is the translation from raw data to structured data.
The projects is in principle a continuation of a past project done by Wouter
Roelofs\cite{Roelofs2009} which was also supervised by Franc Grootjen and
Alessandro Paula, however it was never taken out of the experimental phase and
therefore is in need continuation. 

\subsection{Research Plan and Schedule}
The schedule or plan for the project can be divided into 4 stages namely the
initial, developmental, testing and writing stage. These stages are not
mutually exclusive and therefore can and will overlap.
\begin{itemize}
	\item{Initiating stage:}
		In this stage we will look at the past project and present literature
		on the subject and create a explicit plan for the eventual software.
		There probably is a lot of literature written on how to parse certain
		information fields such as dates, places and artist information. The
		date parsing and recognizing was a main part in the past project.
	\item{Developmental stage:}
		The developmental stage is the stage where most of the programming is
		done and the where the algorithms for crawling and transformation are
		implemented.  For web-frontend the framework choice has fallen upon
		firefox extensions which are mainly written in javascript and cfx. The
		data transformer will probably be written in python due to the robust
		natural language tools and portability.
	\item{Testing stage:}
		This stage will overlap greatly with the developmental stage because
		this will save a lot of time.
	\item{Writing stage:}
		The last stage will be the stage in which the thesis is written and the
		project presented. During all other stages certain parts of the thesis
		can already be written down.
\end{itemize}

\subsection{Weekly planning}
Because of some mandatory courses in the first semester of the next year the
schedule can be seen as provisional meaning that there is room to extend the
schedule.(in practice at maximum up to december 2014).

\begin{tabular}{|p{1em}|p{1.2em}|p{5em}|p{16em}|p{15em}|}
	\hline
	\#	& Wk	& Date			& Task	& Deliverables\\\hline
	1	& 15	& 2014-04-07	& proposal and references	& 
										proposal signed by both parties\\
	2	& 16	& 2014-04-14	& references and test environment setup	& 
										test environment\\
	3	& 17	& 2014-04-21	& planning for writing the tool	& 
										software design\\
	4	& 18	& 2014-04-28	& writing thesis and programming	& 
										introduction\\
	5	& 19	& 2014-05-05	& writing thesis and programming &
										\\
	6	& 20	& 2014-05-12	& idem	& 
										methods\\
	7	& 21	& 2014-05-19	& idem	& 
										first prototype software\\
	8	& 22	& 2014-05-26	& testing, programming and thesis	&
										\\
	9	& 23	& 2014-06-02	& testing, implementation bigger picture &
										\\
	10	& 24	& 2014-06-09	& testing 	& 
										working tool and results and abstract\\
	11	& 25	& 2014-06-16	& presentation and thesis	& 
										discussion and presentation\\
	12	& 26	& 2014-06-23	& presentation	& 
										presentiation\\
	13	& 27	& 2014-06-29	& presentation	&
										\\
	\hline
\end{tabular}\\
There will also be bi-weekly meetings with both supervisors to make sure we are
on schedule.  If necessary the frequency of meetings with the external
supervisor can be increased.

\section{Scientific relevance\tiny 52 words}
Currently the techniques for conversion from non structured data to structured
data are static and mainly only usable by IT specialists. There is a great need
of data mining in non structured data because the data within companies and on
the internet is piling up and are usually left to catch dust.


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