Orienteering in an information landscape: how information seekers get from here to there
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Optimal composition of real-time systems
Artificial Intelligence
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
New sampling-based summary statistics for improving approximate query answers
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Online association rule mining
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Ripple joins for online aggregation
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Online Dynamic Reordering for Interactive Data Processing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes
ACM Transactions on Mathematical Software (TOMS) - Special issue in honor of John Rice's 65th birthday
Informix under CONTROL: Online Query Processing
Data Mining and Knowledge Discovery
High-dimensional nearest neighbor search with remote data centers
Knowledge and Information Systems
Towards a Parallel Data Mining Toolbox
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Online Dynamic Reordering for Interactive Data Processing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A Toolbox Approach to Flexible and Efficient Data Mining
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Challenges in Ubiquitous Data Management
Informatics - 10 Years Back. 10 Years Ahead.
The VLDB Journal — The International Journal on Very Large Data Bases
Multiscale Visualization Using Data Cubes
IEEE Transactions on Visualization and Computer Graphics
Managing and analyzing massive data sets with data cubes
Handbook of massive data sets
pCube: Update-Efficient Online Aggregation with Progressive Feedback and Error Bounds
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
Visualizing Data with Bounded Uncertainty
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Mining and visualizing recommendation spaces for PDE solvers: the continuous attributes case
Computational science, mathematics and software
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Design choices when architecting visualizations
Information Visualization - Special issue of selected and extended InfoVis 03 papers
Optimization of in-network data reduction
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
A disk-based join with probabilistic guarantees
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Online estimation for subset-based SQL queries
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Diamond: A Storage Architecture for Early Discard in Interactive Search
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
Progressive skylining over web-accessible databases
Data & Knowledge Engineering
Algorithms and analyses for maximal vector computation
The VLDB Journal — The International Journal on Very Large Data Bases
ACM Transactions on Database Systems (TODS)
Browsing large online data tables using generalized query previews
Information Systems
Scalable approximate query processing with the DBO engine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Advances in intelligent data analysis
Intelligent Data Analysis
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Foundations and Trends in Databases
Toward best-effort information extraction
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Confidence bounds for sampling-based group by estimates
ACM Transactions on Database Systems (TODS)
Scalable approximate query processing with the DBO engine
ACM Transactions on Database Systems (TODS)
GVP model based temporal visualisation of user-centric data
International Journal of Metadata, Semantics and Ontologies
Sampling-based estimators for subset-based queries
The VLDB Journal — The International Journal on Very Large Data Bases
Beyond online aggregation: parallel and incremental data mining with online Map-Reduce
Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud
A new virtual select database operation for wireless sensor networks
EUC'07 Proceedings of the 2007 conference on Emerging direction in embedded and ubiquitous computing
Online aggregation and continuous query support in MapReduce
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Design choices when architecting visualizations
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Diamond: a storage architecture for early discard in interactive search
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
Locality sensitive hashing for sampling-based algorithms in association rule mining
Expert Systems with Applications: An International Journal
Interactions with big data analytics
interactions
Trust me, i'm partially right: incremental visualization lets analysts explore large datasets faster
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Efficient searching top-k semantic similar words
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Towards efficient similar sentences extraction
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Stat!: an interactive analytics environment for big data
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
| Hi-index | 4.10 |
Data analysis is fundamentally an iterative process in which you issue a query, receive a response, formulate the next query based on the response, and repeat. You usually don't issue a single, perfectly chosen query and get the information you want from a database; indeed, the purpose of data analysis is to extract unknown information, and in most situations, there is no one perfect query. People naturally start by asking broad, big-picture questions and then continually refine their questions based on feedback and domain knowledge. In the Control (Continuous Output and Navigation Technology with Refinement Online) project at the University of California, Berkeley, the authors are working with collaborators at IBM, Informix, and elsewhere to explore ways to improve human-computer interaction during data analysis. The Control project's goal is to develop interactive, intuitive techniques for analyzing massive data sets.