2008 Proceeding- General Chair:
- Ying Li,
- Program Chairs:
- Bing Liu,
- Sunita Sarawagi
We welcome you to the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08) being held in Las Vegas, Nevada, USA, on August 24 - 27, 2008. We are pleased to present the proceedings of the conference as its published record. As the flagship conference in the field, KDD provides a highly competitive forum for reporting the latest and the best developments in the research and application of data mining and knowledge discovery worldwide.
KDD'08 received a record number of 693 total submissions. The Research Track received 510 submissions from 30 different countries and the Industrial Track received 83 submissions from 10 different countries. For the Research Track, the program committee accepted 95 papers, of which, 50 (9.8% of the total) were chosen for a 25 minute oral presentation and 45 (8.8% of the total) were chosen for a 15 minute oral presentation. The corresponding numbers for the Industrial Track were 13 (15.7% of the total) and 10 (12.0% of the total) respectively. All accepted papers are given a presentation length of up to 9 pages in the proceedings, and all accepted papers are also given poster presentation opportunities in one of the two evening poster sessions during the conference.
Apart from the paper presentations, the conference also features seven tutorials, thirteen workshops, one panel, the KDD-Cup competition, a demo session, and three invited talks by Trevor Hastie (Stanford University), Jitendra Malik (UC Berkeley) and Michael Schwarz (Yahoo! Research). The Industrial Track includes two additional invited presentations by Thore Graepel (Microsoft Research Cambridge, U.K.) and Udo Miletzki (Siemens, Germany).
Internet advertising and optimal auction design
This talk describes the optimal (revenue maximizing) auction for sponsored search advertising. We show that a search engine's optimal reserve price is independent of the number of bidders. Using simulations, we consider the changes that result from a ...
Regularization paths and coordinate descent
In a statistical world faced with an explosion of data, regularization has become an important ingredient. In a wide variety of problems we have many more input features than observations, and the lasso penalty and its hybrids have become increasingly ...
The future of image search
There are billions of images on the Internet. Today, searching for a desired image is largely based on textual data such as filename or associated text on the web page; not much use is made of the image content. There are good reasons for this. The ...
Genesis of postal address reading, current state and future prospects: thirty years of pattern recognition on duty of postal services
Abstract
Intro: An overview is given of the largest industrial OCR application world wide: Postal Address Reading, how it came into being, how it evolved rapidly to its current state-of-the-art and what are its future prospects. Some prominent ...
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Broekel T and Mueller W (2017). Critical links in knowledge networks – What about proximities and gatekeeper organisations?, Industry and Innovation, 10.1080/13662716.2017.1343130, 25:10, (919-939), Online publication date: 26-Nov-2018.
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Li G, Liu Q and Bai S (2017). A novel model to improve network performance, International Journal of Computers and Applications, 10.1080/1206212X.2017.1395107, 40:2, (82-87), Online publication date: 3-Apr-2018.
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Fu S, Xu Y and Yan Q (2017). Enhancing the parasocial interaction relationship between consumers through similarity effects in the context of social commerce, Journal of Strategic Marketing, 10.1080/0965254X.2017.1384045, (1-19)
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Xiao Y, Lu X and Liu Y (2016). A parallel and distributed algorithm for role discovery in large-scale social networks, Intelligent Automation & Soft Computing, 10.1080/10798587.2016.1152777, 22:4, (675-681), Online publication date: 1-Oct-2016.
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Kadar I, Thanos K and Thomopoulos S (2016). wayGoo recommender system: personalized recommendations for events scheduling, based on static and real-time information SPIE Defense + Security, 10.1117/12.2223397, , (98420S), Online publication date: 17-May-2016.
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Sang N, Chen X, Liu G, Song X and Lv J (2015). Framland parcels extraction from high-resolution remote sensing images based on the two-stage image classification Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 10.1117/12.2209212, , (981211), Online publication date: 14-Dec-2015.
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Subbian K, Sharma D, Wen Z and Srivastava J (2014). Finding influencers in networks using social capital, Social Network Analysis and Mining, 10.1007/s13278-014-0219-z, 4:1, Online publication date: 1-Dec-2014.
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