TY - GEN
T1 - On the Quantification of Missing Value Impact on Voting Advice Applications
AU - Agathokleous, Marilena
AU - Tsapatsoulis, Nicolas
AU - Katakis, Ioannis
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Voting Advice Application (VAA) is a web application that recommends a candidate or a party to a voter. From an online questionnaire, which voters and candidates are called to answer, the VAA proposes to each individual voter the candidate who replied like him/her. It is very important the voters to reply in all questions of the questionnaire, because every question has its meaning and is responding to the political position of a each party. Missing values might mislead the VAA and impede it to have complete knowledge about the voter, as a result to offer him/her the wrong candidate. In this paper we quantitatively investigate the effect of missing values in VAAs by examining the impact of the number of missing values to different methods of voting prediction. For our experiment we have used the data obtained from the May parliamentary elections in Greece in 2012. The corresponding dataset is made freely available to other researchers working in the areas of VAA and recommender systems through the Web.
AB - Voting Advice Application (VAA) is a web application that recommends a candidate or a party to a voter. From an online questionnaire, which voters and candidates are called to answer, the VAA proposes to each individual voter the candidate who replied like him/her. It is very important the voters to reply in all questions of the questionnaire, because every question has its meaning and is responding to the political position of a each party. Missing values might mislead the VAA and impede it to have complete knowledge about the voter, as a result to offer him/her the wrong candidate. In this paper we quantitatively investigate the effect of missing values in VAAs by examining the impact of the number of missing values to different methods of voting prediction. For our experiment we have used the data obtained from the May parliamentary elections in Greece in 2012. The corresponding dataset is made freely available to other researchers working in the areas of VAA and recommender systems through the Web.
KW - classifiers
KW - Missing values
KW - recommender systems
KW - voting advice applications
UR - http://www.scopus.com/inward/record.url?scp=84904620434&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41013-0_51
DO - 10.1007/978-3-642-41013-0_51
M3 - Conference contribution
AN - SCOPUS:84904620434
SN - 9783642410123
T3 - Communications in Computer and Information Science
SP - 496
EP - 505
BT - Engineering Applications of Neural Networks - 14th International Conference, EANN 2013, Proceedings
PB - Springer Verlag
T2 - 14th International Conference on Engineering Applications of Neural Networks, EANN 2013
Y2 - 13 September 2013 through 16 September 2013
ER -