FCA4AI 2015
What can FCA do for Artificial Intelligence?

Table of Contents

• Preface
  
  
• Using Trust Networks to Improve Data Quality and Recommendations (Invited Talk) 7-8
  Hernán Astudillo
• Bridging DBpedia Categories and DL-Concept Definitions Using Formal Concept Analysis 9-16
  Mehwish Alam, Aleksey Buzmakov, Víctor Codocedo, Amedeo Napoli
• A Conceptual-KDD Tool for Ontology Construction from a Database Schema 17-26
  Renzo Stanley, Hernán Astudillo
• SOFIA: How to Make FCA Polynomial? 27-35
  Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli
• Pattern Structures for News Clustering 35-42
  Tatyana Makhalova, Dmitry Ilvovsky, Boris Galitsky
• Lazy Classication with Interval Pattern Structures: Application to Credit Scoring 43-54
  Alexey Masyutin, Yury Kashnitsky, Sergei O. Kuznetsov
• Reduction in Triadic Data Sets 55-62
  Sebastian Rudolph, Christian Sacarea, Diana Troanca
• Lazy Associative Graph Classification 63-74
  Yury Kashnitsky, Sergei O. Kuznetsov
• Machine-assisted Cyber Threat Analysis Using Conceptual Knowledge Discovery 75-86
  Martín Barrère, Gustavo Betarte, Víctor Codocedo, Marcelo Rodríguez, Hernán Astudillo, Marcelo Aliquintuy, Javier Baliosian, Rémi Badonnel, Olivier Festor, Carlos Raniery Paula Dos Santos, Jéferson Campos Nobre, Lisandro Zambenedetti Granville, Amedeo Napoli
• RAPS: A Recommender Algorithm Based on Pattern Structures 87-98
  Dmitry Ignatov, Denis Kornilov
• Finding a Lattice of Needles in a Haystack: Forming a Query from a Set of Items of Interest 99-106
  Boris Galitsky