Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download ementa - Escola de Inverno
Document related concepts
Transcript
CURSOS DISCIPLINA : MESTRADO E DOUTORADO (CMCD) : Cognitive Computing Methods for Non-Structured Data Analysis PROFESSOR : Ana Paula Appel (IBM Research – Brazil) Assistente: Marcos Lohmann ESCOLA DE INVERNO 2016 PROGRAMA EMENTA Based on the unprecedented increase in unstructured data generation rate in various fields of human knowledge, there is a growing need, both from a scientific point of view as well as from a practical point of view, to extract useful information from these immense volume of data. Data mining is the automatic discovery process of standards, changes, associations, sequences and anomalies in large data sets. This course aims to present unstructured data mining techniques based on cognitive computing, and discuss details of their use and analyze fields of applications where these techniques are used. CONTEÚDO PROGRAMÁTICO 1 Summary: * Basic concepts, engineering and data analysis * Unstructured data: characterization, typology, use of examples * Watson tools for mining unstructured data * Mining frequent patterns * Clustering * Classification * Dimensionality Reduction * Analyze/mining of complex networks * Information Representation * The future of Cognitive Computing BIBLIOGRAFIA [1] Newman, Mark. Networks: an introduction. OUP Oxford, 2010. [2] Liu, Bing. Web data mining: exploring hyperlinks, contents, and usage data. Springer Science & Business Media, 2007. [3] Leskovec, Jure, Anand Rajaraman, and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. [4] Zaki, Mohammed J., and Wagner Meira Jr. Data mining and analysis: fundamental concepts and algorithms. Cambridge University Press, 2014. CV Ana Paula is a Research Staff Member in the recently created IBM Research - Brazil working in Social Data Analytics Group. She joined IBM Brazil in February 2012. Ana Paula has a B.S. in Computer Science from the Federal University of Sao Carlos (UFSCar), a M. Sc. and Ph.D. degree also in Computer Science from the State University of Sao Paulo (USP) under the guidance of Prof. Dr. Caetano Traina Jr. She has an year internship at Carnegie Mellon University (CMU) under the supervision of Prof. Dr. Christos Faloutsos. She also has a post-doc at Federal University of Sao Carlos (UFSCar) working with Prof. Dr. Estevam Hruschka.
