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This book discusses the challenges facing current research in
knowledge discovery and data mining posed by the huge volumes of
complex data now gathered in various real-world applications (e.g.,
business process monitoring, cybersecurity, medicine, language
processing, and remote sensing). The book consists of 14 chapters
covering the latest research by the authors and the research
centers they represent. It illustrates techniques and algorithms
that have recently been developed to preserve the richness of the
data and allow us to efficiently and effectively identify the
complex information it contains. Presenting the latest developments
in complex pattern mining, this book is a valuable reference
resource for data science researchers and professionals in academia
and industry.
This book discusses the challenges facing current research in
knowledge discovery and data mining posed by the huge volumes of
complex data now gathered in various real-world applications (e.g.,
business process monitoring, cybersecurity, medicine, language
processing, and remote sensing). The book consists of 14 chapters
covering the latest research by the authors and the research
centers they represent. It illustrates techniques and algorithms
that have recently been developed to preserve the richness of the
data and allow us to efficiently and effectively identify the
complex information it contains. Presenting the latest developments
in complex pattern mining, this book is a valuable reference
resource for data science researchers and professionals in academia
and industry.
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New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers (Paperback, 1st ed. 2018)
Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book features a collection of revised and significantly
extended versions of the papers accepted for presentation at the
6th International Workshop on New Frontiers in Mining Complex
Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in
Skopje, Macedonia, in September 2017. The book is composed of five
parts: feature selection and induction; classification prediction;
clustering; pattern discovery; applications. The workshop was aimed
at discussing and introducing new algorithmic foundations and
representation formalisms in complex pattern discovery. Finally, it
encouraged the integration of recent results from existing fields,
such as Statistics, Machine Learning and Big Data Analytics.
The importance of accurate recommender systems has been widely
recognized by academia and industry, and recommendation is rapidly
becoming one of the most successful applications of data mining and
machine learning. Understanding and predicting the choices and
preferences of users is a challenging task: real-world scenarios
involve users behaving in complex situations, where prior beliefs,
specific tendencies, and reciprocal influences jointly contribute
to determining the preferences of users toward huge amounts of
information, services, and products. Probabilistic modeling
represents a robust formal mathematical framework to model these
assumptions and study their effects in the recommendation process.
This book starts with a brief summary of the recommendation problem
and its challenges and a review of some widely used techniques
Next, we introduce and discuss probabilistic approaches for
modeling preference data. We focus our attention on methods based
on latent factors, such as mixture models, probabilistic matrix
factorization, and topic models, for explicit and implicit
preference data. These methods represent a significant advance in
the research and technology of recommendation. The resulting models
allow us to identify complex patterns in preference data, which can
be exploited to predict future purchases effectively. The extreme
sparsity of preference data poses serious challenges to the
modeling of user preferences, especially in the cases where few
observations are available. Bayesian inference techniques elegantly
address the need for regularization, and their integration with
latent factor modeling helps to boost the performances of the basic
techniques. We summarize the strengths and weakness of several
approaches by considering two different but related evaluation
perspectives, namely, rating prediction and recommendation
accuracy. Furthermore, we describe how probabilistic methods based
on latent factors enable the exploitation of preference patterns in
novel applications beyond rating prediction or recommendation
accuracy. We finally discuss the application of probabilistic
techniques in two additional scenarios, characterized by the
availability of side information besides preference data. In
summary, the book categorizes the myriad probabilistic approaches
to recommendations and provides guidelines for their adoption in
real-world situations.
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New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers (Paperback, 2013 ed.)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, …
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R1,974
Discovery Miles 19 740
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed conference
proceedings of the First International Workshop on New Frontiers in
Mining Complex Patterns, NFMCP 2012, held in conjunction with
ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised
full papers were carefully reviewed and selected from numerous
submissions. The papers are organized in topical sections on mining
rich (relational) datasets, mining complex patterns from
miscellaneous data, mining complex patterns from trajectory and
sequence data, and mining complex patterns from graphs and
networks.
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Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings (Paperback, 1st ed. 2022)
Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ras
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R1,624
Discovery Miles 16 240
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 26th International
Symposium on Foundations of Intelligent Systems, ISMIS 2022, held
in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short
papers and 4 industrial papers presented in this volume were
carefully reviewed and selected from 71 submissions. They were
organized in topical sections as follows: Social Media and
Recommendation; Natural Language Processing; Explainability;
Intelligent Systems; Classification and Clustering; Complex Data;
Medical Applications; Industrial Applications.
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New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew Ra s
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the refereed post-conference proceedings of
the 8th International Workshop on New Frontiers in Mining Complex
Patterns, NFMCP 2019, held in conjunction with ECML-PKDD 2019 in
Wurzburg, Germany, in September 2019. The workshop focused on the
latest developments in the analysis of complex and massive data
sources, such as blogs, event or log data, medical data,
spatio-temporal data, social networks, mobility data, sensor data
and streams.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II (Paperback, 1st ed. 2016)
Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
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R3,134
Discovery Miles 31 340
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Ships in 10 - 15 working days
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The three volume set LNAI 9851, LNAI 9852, and LNAI 9853
constitutes the refereed proceedings of the European Conference on
Machine Learning and Knowledge Discovery in Databases, ECML PKDD
2016, held in Riva del Garda, Italy, in September 2016. The 123
full papers and 16 short papers presented were carefully reviewed
and selected from a total of 460 submissions. The papers presented
focus on practical and real-world studies of machine learning,
knowledge discovery, data mining; innovative prototype
implementations or mature systems that use machine learning
techniques and knowledge discovery processes in a real setting;
recent advances at the frontier of machine learning and data mining
with other disciplines. Part I and Part II of the proceedings
contain the full papers of the contributions presented in the
scientific track and abstracts of the scientific plenary talks.
Part III contains the full papers of the contributions presented in
the industrial track, short papers describing demonstration, the
nectar papers, and the abstracts of the industrial plenary talks.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I (Paperback, 1st ed. 2016)
Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
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R3,134
Discovery Miles 31 340
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Ships in 10 - 15 working days
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The three volume set LNAI 9851, LNAI 9852, and LNAI 9853
constitutes the refereed proceedings of the European Conference on
Machine Learning and Knowledge Discovery in Databases, ECML PKDD
2016, held in Riva del Garda, Italy, in September 2016. The 123
full papers and 16 short papers presented were carefully reviewed
and selected from a total of 460 submissions. The papers presented
focus on practical and real-world studies of machine learning,
knowledge discovery, data mining; innovative prototype
implementations or mature systems that use machine learning
techniques and knowledge discovery processes in a real setting;
recent advances at the frontier of machine learning and data mining
with other disciplines. Part I and Part II of the proceedings
contain the full papers of the contributions presented in the
scientific track and abstracts of the scientific plenary talks.
Part III contains the full papers of the contributions presented in
the industrial track, short papers describing demonstration, the
nectar papers, and the abstracts of the industrial plenary talks.
|
New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers (Paperback, 1st ed. 2016)
Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
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R2,281
Discovery Miles 22 810
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 4th International Workshop on New Frontiers in
Mining Complex Patterns, NFMCP 2015, held in conjunction with
ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15
revised full papers presented together with one invited talk were
carefully reviewed and selected from 19 submissions. They
illustrate advanced data mining techniques which preserve the
informative richness of complex data and allow for efficient and
effective identification of complex information units present in
such data. The papers are organized in the following sections: data
stream mining, classification, mining complex data, and sequences.
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New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers (Paperback, 2015 ed.)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, …
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R1,557
Discovery Miles 15 570
|
Ships in 10 - 15 working days
|
This book constitutes the thoroughly refereed post-conference
proceedings of the Third International Workshop on New Frontiers in
Mining Complex Patterns, NFMCP 2014, held in conjunction with
ECML-PKDD 2014 in Nancy, France, in September 2014. The 13 revised
full papers presented were carefully reviewed and selected from
numerous submissions. They illustrate advanced data mining
techniques which preserve the informative richness of complex data
and allow for efficient and effective identification of complex
information units present in such data. The papers are organized in
the following sections: classification and regression; clustering;
data streams and sequences; applications.
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New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers (Paperback, 2014 ed.)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, …
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R2,356
Discovery Miles 23 560
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Ships in 10 - 15 working days
|
This book constitutes the thoroughly refereed post-conference
proceedings of the Second International Workshop on New Frontiers
in Mining Complex Patterns, NFMCP 2013, held in conjunction with
ECML/PKDD 2013 in Prague, Czech Republic, in September 2013. The 16
revised full papers were carefully reviewed and selected from
numerous submissions. The papers are organized in topical sections
on data streams and time series analysis, classification,
clustering and pattern discovery, graphs, networks and relational
data, machine learning and music data.
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