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AFCADM 2016 - International Workshop on Algorithms for FCA and Data Mining (AFCADM 2016)

Date2016-07-18 - 2016-07-22

Deadline2016-05-23

VenueMoscow, Russia Russia

Keywords

Websitehttps://cla2016.hse.ru/afcadm

Topics/Call fo Papers

What are current challenges in implementations of algorithms related to FCA? Can we evaluate the efficiency of modern algorithms implementations and compare theoretical and experimental estimates of computational complexity? What data formats should be supported by software components of systems in the field of FCA applications? We would like to get answers to such questions.
The workshop is going to bring together the community of FCA researchers and programmers. This will give an opportunity to get and share new ideas and approaches, to assess project solutions from different point of views, to discuss algorithmic problems, and to check the current state of the art in the field.
AFCADM workshop will be collocated with CLA-2016 in Moscow.
The workshop welcomes original FCA algorithms, their implementations and linked software components.
FCA software related workshop topics
Original FCA algorithms implementations in various application fields (SNA, Text Mining, etc.).
Implementations of high performance parallel algorithms.
Definition and construction of benchmarks.
FCA data formats conversion and tools interoperability.
Common and special data formats for FCA-related tasks.
Format validity testers.
Format converters.
Data preprocessing (Data tidying) for FCA tasks.
Basic Formal Concept Analysis tasks
Generation of
a specified subset of formal concepts,
FCA covering relation,
implication bases,
layout of FCA diagram (visualization).
Supported input/output data formats
We will use Formal Concept Analysis Research Toolbox (FCART) as host system for running tests with automatic logging and input/output data handling. For now, we support
CSV,
CXT (Burmeister's format),
FIMI,
JSON Context and Lattice,
ARFF (Attribute-Relation File Format).
Do we need other formats?
Datasets
Standard datasets from UCI Repository.
Special sequences of formal contexts with increased complexity.
Standard benchmarks for algorithms
Need to specify. We have some suggestions and experience, but additional ideas are greatly appreciated.

Last modified: 2016-05-11 23:29:09