Invited Talk at Asian Conference on Machine Learning (ACML) 2016 

Massive Online Analytics for the Internet of Things (IoT)

I was very happy to be invited to give an invited talk at the 8th Asian Conference on Machine Learning (ACML 2016) in Hamilton, New Zealand. The talk was on Massive Online Analytics for the Internet of Things (IoT). The challenge of deriving insights from the Internet of Things (IoT) has been recognized as one […]

IoT Big Data Stream Mining Tutorial at KDD 2016 

IoT Big Data Stream Mining Tutorial

We presented this week our tutorial “IoT Big Data Stream Mining” at KDD 2016 in San Francisco. This tutorial was a gentle introduction to mining IoT big data streams. The first part introduces data stream learners for classification, regression, clustering, and frequent pattern mining. The second part deals with scalability issues inherent in IoT applications, […]

Resources to learn Big Data Analytics 

Data Stream Mining Book

A list of books and resources that are available online for learning Data Science: Industry Mc Kinsey Big data: The next frontier for innovation, competition, and productivity Website O’Reilly Big Data Now: 2012 Edition. Website IBM Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. Website Pentaho Real-Time Big Data Analytics: Emerging Architecture. […]

Big Data Mining SIGKDD Explorations 

SigKDD Explorations

For the Big Data Mining SIGKDD Explorations Dec 2012, we selected four contributions that together show very significant state-of-the-art research in Big Data Mining, and that provide a broad overview of the field and a forecast to the future. Scaling Big Data Mining Infrastructure: The Twitter Experience by Jimmy Lin and Dmitriy Ryaboy (Twitter, Inc.). […]

Big Data Mining Future Challenges 

Future

There are many future important challenges in Big Data management and analytics, that arise from the nature of data: large, diverse, and evolving. These are some of the challenges that researchers and practitioners will have to deal with in the years to come: Analytics Architecture. It is not clear yet how an optimal architecture of […]

Big Data Mining Tools 

MOA

The Big Data phenomenon is intrinsically related to the open source software revolution. Large companies such as Facebook, Yahoo!, Twitter, LinkedIn benefit and contribute to open source projects. Big Data infrastructure deals with Hadoop, and other related software as: Apache Hadoop : software for data-intensive distributed applications, based in the MapReduce programming model and a […]

Global Pulse: “Big Data for development” 

UN Global Pulse

To show the usefulness of Big Data mining, we would like to mention the work that Global Pulse is doing using Big Data to improve life in developing countries. Global Pulse is a United Nations initiative, launched in 2009, that functions as an innovative lab, and that is based in mining Big Data for developing […]

Controversy about Big Data 

Big Data

Big Data is a new and emerging hot topic, that has generated a great deal of controversy: There is no need to distinguish Big Data analytics from data analytics, as data will continue growing, and it will never be small again. Big Data may be a hype to sell Hadoop based computing systems. Hadoop is […]

Big Data Mining 

Big Data Mining

The term “Big Data” appeared for first time in 1998 in a Silicon Graphics (SGI) slide deck by John Mashey with the title “Big Data and the Next Wave of InfraStress”. Big Data mining was very relevant from the beginning, as the first book mentioning “Big Data” is a data mining book that appeared also […]