178




  Synergies between CBR and Knowledge
                Discovery

                   Workshop at the
       Twenty-Fourth International Conference on
                Case-Based Reasoning
                    (ICCBR 2016)
                 Atlanta, Georgia, USA
                     October 2016

Isabelle Bichindaritz, Cindy Marling, and Stefania Montani
                          (Editors)
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Chairs
Isabelle Bichindaritz   State University of New York (SUNY) at Oswego,
                        USA
Cindy Marling           Ohio University, USA
Stefania Montani        University of Piemonte Orientale, Italy


Program Committee
Agnar Aamodt                Norwegian University of Science and Technology
                            (NTNU), Norway
Klaus-Dieter Althoff        DFKI and University of Hildesheim, Germany
Juan Manuel Corchado        University of Salamanca, Spain
Beatriz Lopez               University of Girona, Spain
Jean Lieber                 Loria and University of Nancy, France
Luigi Portinale             University of Piemonte Orientale, Italy
Rainer Schmitt              University of Rostock, Germany
Olga Vorobieva              I. M. Sechenov Institute of Evolutionary Physiology
                            and Biochemistry, Russia
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Preface


This workshop builds on the momentum of the first Workshop on Synergies
between CBR and Data Mining, which was held at ICCBR 2014 in Frankfurt,
Germany. This series of workshops focuses on the multi-faceted and evolving
relationships between Case-Based Reasoning (CBR) and knowledge discovery.
    At the core of CBR lies the ability of a system to learn from past cases.
However, CBR systems often incorporate knowledge discovery methods, for
example, to organize memory or to learn adaptation rules. In turn, knowledge
discovery systems often utilize CBR as a learning methodology, for example,
through a common set of problems with the nearest-neighbor method and
reinforcement learning. Meanwhile, the machine learning community, which is
tightly coupled with knowledge discovery, has historically included CBR
among the types of instance-based learning.
    This second Workshop on Synergies between CBR and Knowledge Discovery
is dedicated to an in-depth study of the possible synergies between case-based
reasoning and knowledge discovery. It also aims to identify potentially fruitful
ideas for cooperative problem-solving where both CBR and knowledge discovery
researchers can compare and combine methods. In particular, new advances in
knowledge discovery may help CBR to advance its field of study, and CBR may
play a vital role in the future of knowledge discovery.
     Five papers have been selected for presentation at this years workshop and
inclusion in the Workshop Proceedings. They explore: advances in medical
process mining, taking context into account, which is crucial in medical domains
[Canensi et al.]; feature weight learning in a conversational recommender system
based on preference discovery [Sekar and Chakraborti]; learning goal trajectories
in a conversational recommender system [Eyorokon et al.]; knowledge discovery
based on streams for case base maintenance [Zhang et al]; and evaluation of a
case-based approach to discovering fraud in financial transactions [Adedoyin et
al.].
    They feature advanced trends in integrating CBR with knowledge discovery
to define features, feature weights, and goals in recommender systems, machine
learning algorithms, process mining, and stream mining. They exemplify how
knowledge discovery helps advance CBR in its reasoning steps, with an emphasis
on the retrieval and retain steps, as well as in its methodology, through
evaluation.
    These papers report on the research and experience of seventeen authors
working in four different countries on a wide range of problems and projects, and
illustrate some of the major trends of current research. Overall, they represent
an excellent sample of synergies between CBR and knowledge discovery, and
promise to spark very interesting discussions and interaction among CBR and
knowledge discovery researchers.
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Atlanta, GA       Isabelle Bichindaritz
USA                     Cindy Marling
October, 5 2016      Stefania Montani