\documentclass[11pt,a4paper]{article}
\usepackage{times}
\usepackage{a4quitelarge}
\usepackage{harvard}
\usepackage{xspace}
\usepackage{setheads}

\title{Identifying the Publication Types and Citation Details for On-line
Sources: Solutions}
\author{David McG.\ Squire}
\date{\today}

% Define some convenient stuff
\newcommand{\eg}{\emph{e.g.}\@\xspace}
\newcommand{\ie}{\emph{i.e.}\@\xspace}
\newcommand{\etc}{\emph{etc.}\@\xspace}
\newcommand{\BibTeX}{{\sc Bib}\TeX}
\newenvironment{smallquote}{\small\begin{quote}}{\end{quote}}

\begin{document}
\maketitle

\begin{center}
{\Large  CSE417 Communication and Research Skills \par

CSSE Monash University \par}
\end{center}


\section{Exercise Solutions}
\begin{itemize}

\harvarditem[Dhond et~al.]{Dhond, Gupta \harvardand\ Vadhavkar}{2000}{DGV2000}
Dhond, A., Gupta, A. \harvardand\ Vadhavkar, S.  \harvardyearleft
  2000\harvardyearright .
\newblock Data mining techniques for optimizing inventories for electronic
  commerce, \emph{Proceedings of the Sixth ACM SIGKDD International Conference
  on Knowledge Discovery and Data Mining}, Boston, Massachusetts, USA,
  pp.~480--486.
\newline\harvardurl{\small http://dx.doi.org/10.1145/347090.347188}

\harvarditem{Freitas}{2000}{Fre2000}
Freitas, A.~A.  \harvardyearleft 2000\harvardyearright .
\newblock Understanding the crucial differences between classification and
  discovery of association rules---a position paper, \emph{SIGKDD Explorations}
  {\bf 2}(1):~65--69.
\newline\harvardurl{\small http://www.acm.org/sigs/sigkdd/explorations/issues/2-1-2000-06/freitas.pdf}

\harvarditem{Thearling}{1999}{The1999}
Thearling, K.  \harvardyearleft 1999\harvardyearright .
\newblock Data mining and {CRM}: Zeroing in on your best customers, \emph{DM
  Direct}.
\newblock (on-line newsletter).
\newline\harvardurl{\small
  http://www.dmreview.com/article\_sub.cfm?articleId=1744}

\harvarditem[Agrawal et~al.]{Agrawal, Bayardo \harvardand\
  Srikant}{2000}{ABS2000}
Agrawal, R., Bayardo, R. \harvardand\ Srikant, R.  \harvardyearleft
  2000\harvardyearright .
\newblock Athena: Mining-based interactive management of text databases,
  \emph{Proceedings of the Seventh International Conference on Extending
  Database Technology (EDBT00)}, Konstanz, Germany, pp.~365--379.
\newline\harvardurl{\small
  http://www.almaden.ibm.com/software/quest/Publications/papers/edbt00.pdf}

OR

\harvarditem[Agrawal et~al.]{Agrawal, Bayardo \harvardand\
  Srikant}{1999}{ABS1999}
Agrawal, R., Bayardo, R. \harvardand\ Srikant, R.  \harvardyearleft
  1999\harvardyearright .
\newblock Athena: Mining-based interactive management of text databases,
  \emph{IBM Research Report RJ10153}, IBM Almaden Research Center, 650 Harry
  Road, K55/B1 San Jose, CA 95120, USA.
\newline\harvardurl{\small
  http://www.almaden.ibm.com/u/srikant/papers/edbt00\_rj.pdf}

\harvarditem{Vesanto}{1997}{Ves1997}
Vesanto, J.  \harvardyearleft 1997\harvardyearright .
\newblock \emph{Data mining techniques based on the self-organizing map},
  Master's thesis, Helsinki University of Technology, Laboratory of Computer
  and Information Science, P.O. Box 5400, FIN-02015 HUT, Finland.
\newline\harvardurl{\small
  http://www.cis.hut.fi/projects/ide/publications/html/mastersJV97/}

\end{itemize}

Note that the bibliography style used here (a slightly modified
\texttt{dcu}) does not show all the information that was included in the
\texttt{.bib} file when formatting references. You should still enter as much
information as you can: one day you might cite the article using a
different bibliography style, which \emph{does} use information from other
fields.

\newpage The \BibTeX\ entries (with abstracts suppressed) are shown below.
Note:
\begin{itemize}
\item the escaping of special characters in the \texttt{url} fields
\item the use of the n-dash (\verb+--+) for ranges
\item the use of \BibTeX's pre-defined ``strings'' for month names
\item the use of the concatenation operator \verb+#+ in month fields
\end{itemize}

{\footnotesize
\begin{verbatim}
@inproceedings{DGV2000,
	author =	{Anjali Dhond and Amar Gupta and Sanjeev Vadhavkar},
	title =		{Data mining techniques for optimizing inventories for
	electronic commerce},
	booktitle =	{Proceedings of the Sixth ACM SIGKDD International
	Conference on Knowledge Discovery and Data Mining},
	address =	{Boston, Massachusetts, USA},
	month =		{20--23~} # aug,
	year =		{2000},
	pages =		{480--486},	
	url =		{http://dx.doi.org/10.1145/347090.347188},
	keywords =	{Inventory Optimization, Temporal Data Mining, Data
	Massaging},
	abstract =	{As part of their strategy for incorporating...},
}

@article{Fre2000,
	author =	{Alex A. Freitas},
	title =		{Understanding the Crucial Differences Between
	Classification and Discovery of Association Rules---A Position Paper},
	journal =	{SIGKDD Explorations},
	volume =	{2},
	number =	{1},
	pages =		{65--69},
	month =		jun,
	year =		{2000},
	url =		{http://www.acm.org/sigs/sigkdd/explorations/issues/2-1-2000-06/freitas.pdf},
	keywords =	{Classification, association rules, induction, prediction},
	abstract =	{The goal of this position paper is to contribute...},
}

@article{The1999,
	author =	{Kurt Thearling},
	title =		{Data Mining and {CRM}: Zeroing in on Your Best Customers},
	journal =	{DM Direct},
	month =		{20~} # jun,
	year =		{1999},
	note =		{(on-line newsletter)},
	url =		{http://www.dmreview.com/article\_sub.cfm?articleId=1744},
	abstract =	{To be successful, database marketers must first...},
}

\end{verbatim}

\begin{verbatim}
@techreport{ABS1999,
	author =	{Rakesh Agrawal and Roberto Bayardo and Ramakrishnan
	Srikant},
	title =		{Athena: Mining-based Interactive Management of Text
	Databases},
	type =		{IBM Research Report},
	number =	{RJ10153},
	institution =	{IBM Almaden Research Center},
	address =	{650 Harry Road, K55/B1 San Jose, CA 95120, USA},
	month =		jul,
	year =		{1999},
	url =		{http://www.almaden.ibm.com/u/srikant/papers/edbt00\_rj.pdf},
	abstract =	{We describe Athena: a system for creating, exploiting...},
}

@inproceedings{ABS2000,
	author =	{Rakesh Agrawal and Roberto Bayardo and Ramakrishnan
	Srikant},
	title =		{Athena: Mining-based Interactive Management of Text
	Databases},
	booktitle =	{Proceedings of the Seventh International Conference on
	Extending Database Technology (EDBT00)},
	address =	{Konstanz, Germany},
	month =		{20--23~} # mar,
	year =		{2000},
	pages =		{365--379},	
	url =		{http://www.almaden.ibm.com/software/quest/Publications/papers/edbt00.pdf},
	abstract =	{We describe Athena: a system for creating, exploiting...},
}

@mastersthesis{Ves1997,
	author =	{Juha Vesanto},
	title =		{Data Mining Techniques Based on the Self-Organizing Map},
	month =		{26~} # may,
	year =		{1997},
	school =	{Helsinki University of Technology},
	address =	{Laboratory of Computer and Information Science, P.O. Box
	5400, FIN-02015 HUT, Finland},
	url =		{http://www.cis.hut.fi/projects/ide/publications/html/mastersJV97/},
	keywords =	{neural network, Self-Organizing Map, data mining,
	knowledge discovery, pulp and paper industry},
	abstract =	{Data mining is a part of a larger area of recent...},
}
\end{verbatim}
}

\end{document}

