Julian Luengo

Julián Luengo

More about Julián Luengo:

Julián Luengo received his degree in Computer Science and a PhD from the University of Granada (Granada, Spain) in 2006 and 2011, respectively.

He currently serves as Professor of the University in the Department of Computer Science and Artificial Intelligence of the University of Granada, Spain.

His research interests include machine learning and data mining, as well as data preparation in knowledge discovery. Concretely, his fields for researching have focused on lost values, noisy data and data complexity, recently analyzing their ramifications in deep learning and Big Data.

He has received awards and honors for his personal work or for his publications and conferences, such as the 2009 IFSA-EUSFLAT Award for Best Student Work or the UGR awards for the best engineering research article in 2014 and 2015. Belongs to the list of Highly Cited Researchers in the area of ​​Computer Science (2015-2018): http://highlycited.com/ (Clarivate Analytics).

Julián Luengo will speak about:

Big Data Preprocessing

11:30 - 12:30 Monday 21 September


The term “Big Data” has spread rapidly in the framework of Machine Learning and Data Science.
This new scenario can be defined by means of those problems that cannot be effectively or efficiently addressed using the standard computing resources that we currently have. The use of Big Data Analytics tools provides very significant advantages to both industry and academia, but data rarely can be used raw. In this workshop we provide an introduction to Big Data and a 
definition of data preprocessing to achieve Smart Data.
As such, this workshop covers important topics to enhance the quality in the data to be studied. Several techniques for data transformations, dimensionality and data reduction will be presented, showing the adaptation of classic methods and novel approaches. It also tackles the problem of imperfect data, providing useful insights on how to deal with noise and missing values in a whole new scale, where redundancy can be exploited to gain advantage. Finally, this workshop also covers practical examples including the use of well-established software packages and libraries.


Language of speak: Español