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- demonstrationAugust 2012
PubMed search and exploration with real-time semantic network construction
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1572–1575https://doi.org/10.1145/2339530.2339783Exploring PubMed to find relevant information is challenging and time-consuming because PubMed typically returns a long list of articles as a result of query. Semantic network helps users to explore a large document collection and to capture key ...
- demonstrationAugust 2012
EvaPlanner: an evacuation planner with social-based flocking kinetics
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1568–1571https://doi.org/10.1145/2339530.2339782This paper demonstrates a system that exploits graph mining, social network analysis, and agent-based crowd simulation techniques to investigate the evacuation dynamics during fire emergency. We create a novel evacuation planning system, EvaPlanner, to ...
- demonstrationAugust 2012
EventSearch: a system for event discovery and retrieval on multi-type historical data
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1564–1567https://doi.org/10.1145/2339530.2339781We present EventSearch, a system for event extraction and retrieval on four types of news-related historical data, i.e., Web news articles, newspapers, TV news program, and micro-blog short messages. The system incorporates over 11 million web pages ...
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- demonstrationAugust 2012
A system for extracting top-K lists from the web
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1560–1563https://doi.org/10.1145/2339530.2339780List data is an important source of structured data on the web. This paper is concerned with "top-k" pages, which are web pages that describe a list of k instances of a particular topic or concept. Examples include "the 10 tallest persons in the world" ...
- demonstrationAugust 2012
VOXSUP: a social engagement framework
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1556–1559https://doi.org/10.1145/2339530.2339779Social media websites are currently central hubs on the Internet. Major online social media platforms are not only places for individual users to socialize but are increasingly more important as channels for companies to advertise, public figures to ...
- demonstrationAugust 2012
HeteRecom: a semantic-based recommendation system in heterogeneous networks
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1552–1555https://doi.org/10.1145/2339530.2339778Making accurate recommendations for users has become an important function of e-commerce system with the rapid growth of WWW. Conventional recommendation systems usually recommend similar objects, which are of the same type with the query object without ...
- demonstrationAugust 2012
Navigating information facets on twitter (NIF-T)
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1548–1551https://doi.org/10.1145/2339530.2339777Recent years have seen an exponential increase in the number of users of social media sites. As the number of users of these sites continues to grow at an extraordinary rate, the amount of data produced follows in magnitude. With this deluge of social ...
- demonstrationAugust 2012
Siren: an interactive tool for mining and visualizing geospatial redescriptions
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1544–1547https://doi.org/10.1145/2339530.2339776We present SIREN, an interactive tool for mining and visualizing geospatial redescriptions. Redescription mining is a powerful data analysis tool that aims at finding alternative descriptions of the same entities. For example, in biology, an important ...
- demonstrationAugust 2012
GeoSearch: georeferenced video retrieval system
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1540–1543https://doi.org/10.1145/2339530.2339775Conventional video search systems, to find relevant videos, rely on textual data such as video titles, annotations, and text around the video. Nowadays, video recording devices such as ameras, smartphones and car blackboxes are equipped with GPS sensors ...
- demonstrationAugust 2012
AssocExplorer: an association rule visualization system for exploratory data analysis
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1536–1539https://doi.org/10.1145/2339530.2339774We present a system called AssocExplorer to support exploratory data analysis via association rule visualization and exploration. AssocExplorer is designed by following the visual information-seeking mantra: overview first, zoom and filter, then details ...
- demonstrationAugust 2012
Intelligent advertising framework for digital signage
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1532–1535https://doi.org/10.1145/2339530.2339773How to realize targeted advertising in digital signage is an interesting question. This paper proposed an Intelligent Advertising Framework (IAF), which pioneers the integration of Anonymous Viewer Analytics (AVA) and Data Mining technologies to achieve ...
- demonstrationAugust 2012
MoodLens: an emoticon-based sentiment analysis system for chinese tweets
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1528–1531https://doi.org/10.1145/2339530.2339772Recent years have witnessed the explosive growth of online social media. Weibo, a Twitter-like online social network in China, has attracted more than 300 million users in less than three years, with more than 1000 tweets generated in every second. ...
- demonstrationAugust 2012
D-INDEX: a web environment for analyzing dependences among scientific collaborators
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1520–1523https://doi.org/10.1145/2339530.2339770In this work, we demonstrate a web application, available at http://d-index.di.unito.it, that permits to analyze the scientific profiles of all the researchers indexed by DBLP by focusing on the collaborations that contributed to define their curricula. ...
- demonstrationAugust 2012
TourViz: interactive visualization of connection pathways in large graphs
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1516–1519https://doi.org/10.1145/2339530.2339769We present TourViz, a system that helps its users to interactively visualize and make sense in large network datasets. In particular, it takes as input a set of nodes the user specifies as of interest and presents the user with a visualization of ...
- demonstrationAugust 2012
Visual exploration of collaboration networks based on graph degeneracy
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1512–1515https://doi.org/10.1145/2339530.2339768We demonstrate a system that supports the visual exploration of collaboration networks. The system leverages the notion of fractional cores introduced in earlier work to rank vertices in a collaboration network and filter vertices' neighborhoods. ...
- demonstrationAugust 2012
UFIMT: an uncertain frequent itemset mining toolbox
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1508–1511https://doi.org/10.1145/2339530.2339767In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, the frequent itemset under uncertain data has two different definitions: the ...
- demonstrationAugust 2012
DAGger: clustering correlated uncertain data (to predict asset failure in energy networks)
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1504–1507https://doi.org/10.1145/2339530.2339766DAGger is a clustering algorithm for uncertain data. In contrast to prior work, DAGger can work on arbitrarily correlated data and can compute both exact and approximate clusterings with error guarantees.
We demonstrate DAGger using a real-world ...
- demonstrationAugust 2012
Query-driven discovery of semantically similar substructures in heterogeneous networks
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2012, Pages 1500–1503https://doi.org/10.1145/2339530.2339765Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and social media networks. Although researchers have studied various data ...
