Title: Machine Intelligence, F-granulation and Generalized Rough Sets: Uncertainty Analysis in Pattern Recognition and Mining

Abstract:: Different components of machine intelligence are explained. The role of rough sets in uncertainty handling and granular computing is described. The significance of its integration with other soft computing tools and the relevance of rough-fuzzy computing, as a stronger paradigm for uncertainty handling, are explained. Different applications of rough granules, significance of /f/-granulation and certain important issues in their implementations are stated. Generalized rough sets using the concept of fuzziness in granules and sets are defined both for equivalence and tolerance relations. Different tasks such as case generation, class-dependent rough-fuzzy granulation for classification, rough-fuzzy clustering and defining entropy and various ambiguity measures for image analysis are then addressed in this regard, explaining the nature and characteristics of granules used therein.

While the method of case generation with variable reduced dimension is useful for mining data sets with large dimension and size, class dependent granulation coupled with neighborhood rough sets for feature selection is efficient in modeling overlapping classes. Significance of a new measure, called "dispersion" of classification performance, which focuses on confused classes for higher level analysis, is explained in this regard. Superiority of rough-fuzzy clustering is illustrated for determining bio-bases (c-medoids) in
encoding protein sequence for analysis. Image ambiguity measures, which take into account both the fuzziness in boundary regions, and the rough resemblance among nearby gray levels and nearby pixels, are useful for various image analysis operations. Merits of incorporating the concept of rough granules in addition to fuzziness in gray level in entropy is extensively demonstrated for image segmentation problem.

The talk concludes with stating the future directions of research and challenges.

Plenary Speakers

Satriyo Dharmanto

Satriyo Dharmanto, spent the last 17 years for professional activities in the area of ICT and Broadcasting Industry. He held MSc in Radio Frequency Materials and Bachelor degree in Electrical engineering. Currently he is active in some of professional organizations related to the government, private and Non profit Organizations. He was member of Digital Broadcasting Working group of National Team for Digital TV and Radio Migration from Analog to Digital for the Ministry of Information and Communication Technology, The Republic of Indonesia (MIC). He was speaker in the SEACOOP, is an initiative supported by the European Commission and the ASEAN Secretariat and aiming at strengthening S&T cooperation in ICT between Europe and Southeast Asia, 2010. He is also active as speaker and chairs in some of the Government and private National and International Forum. He is Member of MASTEL (The Indonesian Information and Communication Society), AEBI (The Indonesian Broadcast Engineer Association) and Executive officer of IEEE Indonesia section. Currently he is consultant member for Specification Standard of National Radio Access by TTTel for MIC, 2010, Expert team to the Consultant for National Frequency Planning, by Ensemble PT for MIC, 2010, Consultant member for Digital Radio & TV Migration Implementation, by JICA-MIC, 2008-2009 and Expert team of Digital Technology Research to BPPT (The Agency for the Assessment and Application of Technology) Jakarta Indonesia 2007-2009. He has published one book and more than 30 publications for professional magazine and newspaper. He is Deputy ICT and Broadcasting Director Jakarta Tower and Managing Director of PT. Multikom Global Mediatama Jakarta Indonesia.

Title: Jakarta Tower as a Part of City of The Future

Abstract: Jakarta Tower, with the height of 558 meters, will be one of the tallest ITC (Information & Communication Technology) tower in the world, currently being developed in Kemayoran, Central Jakarta-Indonesia. It will be integrated developed as a modern ICT and broadcasting center.

This tower will also be developed as a lifestyle center, by integrating some aspects of technology, entertainment, education, tourism and commerce. It is planned that the tower will also be equipped with some facilities such as tourist pavilion, a 17 stories podium building, rotating restaurants, an amusing park, hotel, exhibition lounge, and a multimedia center.       More details

James G. Shanahan

Dr. James G. Shanahan, Independent Consultant, San Francisco Jimi has spent the last 20 years developing and researching cutting-edge information management systems to harness information
retrieval, linguistics and machine learning. During the summer of 2007, he started a boutique consultancy (Church and Duncan Group Inc.) in San Francisco who major goal is to help companies leverage their
vast repositories of data using statistics, machine learning, optimization theory and data mining for applications in areas such as web search, and online advertising. Church and Duncan Group’s clients
include AT&T Interactive, Digg.com, eBay, SearchMe.com, Ancestry.com, MyOfferPal.com, and SkyGrid.com. In addition, Jimi is currently an adjunct faculty member at the University of California at Santa Cruz and advises several high-tech startups in the Silicon Valley Area.

Prior to starting Church and Duncan Group Inc., Jimi was Chief Scientist and executive team member at Turn Inc. (an online ad network). Prior to joining Turn, Jimi was Principal Research Scientist at Clairvoyance Corporation where he led the “Knowledge Discovery from Text” Group. Before that he was a Research Scientist at Xerox Research Center Europe (XRCE). In the early 90s, he worked on the AI Team within the Mitsubishi Group in Tokyo.

He has published six books, over 50 research publications, and 15 patents in the areas of machine learning and information processing. Jimi was General Chair for CIKM 2008. He will co-chair the International Conference in Weblog and Social Media (ICWSM) 2011 in Barelona. He is a regularly invited to give talks at international conferences and universities around the world. Jimi received his Ph.D. in engineering mathematics from the University of Bristol, U. K. and holds a bachelor of science degree from the University of Limerick, Ireland. He is a Marie Curie fellow and member of IEEE and ACM.

Title: Third Generation of Digital Advertising: A Truly Personal Affair

Online advertising is a form of promotion that uses the Internet and World Wide Web for the expressed purpose of delivering marketing messages to attract customers. Examples of online advertising include text ads that appear on search engine results pages, banner ads, in-text ads, or Rich Media ads that appear on regular web pages, portals or applications. Since its inception over 15 years ago, online advertising has grown rapidly and currently accounts for 10% ($65 billion) of the overall advertising spend (which is approximately $600 billion worldwide). We already find ourselves in the third generation of online advertising:

* The first generation largely borrowed techniques and business models from offline advertising;
* The second generation is characterized by the introduction and use of purposed-built business models for online advertising, the use data analytics and optimization engines;
* While the third generation (which began around 2007) has largely been driven by a focus on personalization that has been enabled by new data sources, and by advances in machine learning, information retrieval, statistics, distributed computing, optimization and economics.

I will review the third generation of advertising, primarily from technology, data, and opportunity perspectives along the following dimensions:
–Behavioral targeting (BT): Over the past five years BT has been adapted in all aspects of online advertising including sponsored search, display advertising and contextual advertising. I will review key approaches.
–Personalization: offline advertising (via broadcast TV, radio, newspaper etc.) is largely a broadcast form of communication where as digital advertising is much more targeted and thus enables a personalized, and possibly informative, message to be delivered to consumers.
–Interactivity: internet advertising is becoming increasingly interactive with the advent of new forms of advertising such as social advertising; this is enables advertisers and consumers to operate in a more conversant manner.
–Engagement: consumers are spending more time online than with any other form of media thereby enabling a broader reach and deeper connection with consumers.
–Explainability: advertisers are beginning to understand their consumers better.
–New market places: new market places, such as exchanges, have been developed to help advertisers, publishers and other parties meet the needs of this ever-evolving demand-driven online advertising ecosystem.

This shift in focus in digital advertising from location (i.e., publisher web pages) to personalization has brought with it numerous challenges; scalability and technology challenges are some of the big challenges but the biggest one facing the industry currently is privacy. In this discussion, along with reviewing the technology, I will also discuss privacy challenges that arise when adverting becomes personal. This will be done within the context of the elaborate (and ever-evolving) ecosystems of modern day digital advertising where one has to capture, store, and process petabytes of data within the constraints of a, sometimes, sequential workflow. The ultimate goal is to provide millisecond-based decision-making at each step of this workflow that enables customizable and engaging consumer experiences that some may perceive as invading privacy.

Finally, I will outline a new advertising model, Cloud Broker, where an software agent mediates on behalf of the consumer without invading privacy in an era where our individual digital footprints are growing exponentially bigger and more pervasive.