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Enabling Change Exploration: Vision Paper
- Tobias Bleifuß,
- Theodore Johnson,
- Dmitri V. Kalashnikov,
- Felix Naumann,
- Vladislav Shkapenyuk,
- Divesh Srivastava
Data and metadata suffer many different kinds of change: values are inserted, deleted or updated; entities appear and disappear; properties are added or re-purposed, etc. Explicitly recognizing, exploring, and evaluating such change can alert to changes ...
Interactive Exploration of Correlated Time Series
The rapid growth of monitoring applications has led to unprecedented amounts of generated time series data. Data analysts typically explore such large volumes of time series data looking for valuable insights. One such insight is finding pairs of time ...
Integration and Exploration of Connected Personal Digital Traces
A large number of personal digital traces is constantly generated or available online from a variety of sources, such as social media, calendars, purchase history, etc. These personal data traces are fragmented and highly heterogeneous, raising the need ...
On Achieving Diversity in Recommender Systems
Throughout our digital lives, we are getting recommendations for about almost everything we do, buy or consume. In that way, the field of recommender systems has been evolving vastly to match the increasing user needs accordingly. News, products, ideas ...
Structural Query Expansion via motifs from Wikipedia
The search for relevant information can be very frustrating for users who, unintentionally, use inappropriate keywords to express their needs. Expansion techniques aim at transforming the users' queries by adding new terms, called expansion features, ...
Supporting Dynamic Quantization for High-Dimensional Data Analytics
Similarity searches are at the heart of exploratory data analysis tasks. Distance metrics are typically used to characterize the similarity between data objects represented as feature vectors. However, when the dimensionality of the data increases and ...
- Proceedings of the ExploreDB'17
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
ExploreDB '16 | 11 | 5 | 45% |
ExploreDB '15 | 10 | 6 | 60% |
Overall | 21 | 11 | 52% |