Answering unique topic queries with dynamic threshold

No abstract is available for this paper.

• Publication year

  2018

• Venue

  World wide web (Bussum)

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s11280-018-0528-7
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A probabilistic approach to semantic representation

  2019cited by this paper
• Exploratory data analysis

  2018cited by this paper
• Finding maximal ranges with unique topics in a text database

  2018cited by this paper
• Fast, Explainable View Detection to Characterize Exploration Queries

  2016cited by this paper
• AIDE: An Active Learning-Based Approach for Interactive Data Exploration

  2016cited by this paper
• Interactive Browsing and Navigation in Relational Databases

  2016cited by this paper
• Semi-Automated Exploration of Data Warehouses

  2015cited by this paper
• SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification

  2015cited by this paper
• SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics

  2015cited by this paper
• AIDE: An Automatic User Navigation System for Interactive Data Exploration

  2015cited by this paper
• Distributed and interactive cube exploration

  2014cited by this paper
• User-driven refinement of imprecise queries

  2014cited by this paper
• Explore-by-example: an automatic query steering framework for interactive data exploration

  2014cited by this paper
• Interactive data exploration with smart drill-down

  2014cited by this paper
• Meet Charles, big data query advisor

  2013cited by this paper
• YmalDB: exploring relational databases via result-driven recommendations

  2013cited by this paper
• Query Steering for Interactive Data Exploration

  2013cited by this paper
• Latent Dirichlet Allocation

  2009cited by this paper
• On burstiness-aware search for document sequences

  2009cited by this paper
• Top-k Query Processing in Uncertain Databases

  2007cited by this paper
• Parameter Free Bursty Events Detection in Text Streams

  2005cited by this paper
• Unsupervised Learning by Probabilistic Latent Semantic Analysis

  2004cited by this paper
• Finding scientific topics

  2004cited by this paper
• Querying imprecise data in moving object environments

  2003cited by this paper
• Bursty and Hierarchical Structure in Streams

  2002cited by this paper
• Probabilistic latent semantic indexing

  1999cited by this paper
• Mining optimized association rules for numeric attributes

  1996cited by this paper
• Overview of multidatabase transaction management

  1992cited by this paper
• Applications of a Strategy for Designing Divide-and-Conquer Algorithms

  1987cited by this paper
• Programming pearls: perspective on performance

  1984cited by this paper
• Programming pearls: algorithm design techniques

  1984cited by this paper

• No citing papers are available for this paper.