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Scalable multi-dimensional user intent identification using tree structured distributions
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
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The approach models the latent relationships between facets using tree structured distribution which leads to an efficient and convergent algorithm, FastQ, for identifying the multi-faceted intent of users ...
We present a generic, extensible framework for learning the multi-dimensional representation of user intent from the query words. ...
Our query intent model and inference procedure is generic and can be used with other multi-dimensional descriptions of user intent. ...
doi:10.1145/2009916.2009971
dblp:conf/sigir/JethavaCBBD11
fatcat:xis6j256m5g6dduvr4chw6fwqu
ICDE conference 2014 detailed author index
2014
2014 IEEE 30th International Conference on Data Engineering
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Distributed System for Supporting Real-Time Analytics
Li, Guoliang
340
MassJoin: A MapReduce-Based Method for Scalable String Similarity Joins
880
Effective Location Identification from Microblogs ...
Interactions
Rajan, Deepak
616
Optimal Hierarchical Layouts for Cache-Oblivious Search Trees
Ramachandra, Karthik
532
Decorrelation of User Defined Function Invocations in Queries
Ramamritham ...
doi:10.1109/icde.2014.6816627
fatcat:bmnfkwqucfcmhet64s2o6ns5ky
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates
2012
IEEE Transactions on Visualization and Computer Graphics
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In our system, the PCP visualizes the data distribution of each variate (dimension) and the MDS plots project features. ...
The proposed interface enables users to identify relevant correlation clusters and assign optical properties with lassos, magic wand and other tools. ...
Multi-Dimensional Scaling (MDS) techniques [39] , are widely used to identify and select clusters. They project high dimensional points into a lower dimensional space while preserving distances. ...
doi:10.1109/tvcg.2012.80
pmid:22411886
fatcat:2qyjjrtirvgz3aczxv3io3qvkq
Visualizing High-Dimensional Data: Advances in the Past Decade
2017
IEEE Transactions on Visualization and Computer Graphics
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Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields ...
We provide a comprehensive survey of advances in high-dimensional data visualization over the past 15 years. ...
the user intention. ...
doi:10.1109/tvcg.2016.2640960
pmid:28113321
fatcat:3xb2npz44fgxzpfueum5hhso5u
Hierarchical difference scatterplots
2010
SIGKDD Explorations
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We discuss concepts of tightly coupling HDS to other types of tree visualizations and propose the integration in a setup of multiple views, which are linked by interactive queries on the data. ...
Selective drill down ensures that users can increase the amount of detail incrementally for sub-trees of interest. This is an important aspect regarding the scalability of HDS. ...
As discussed in section 2, most tree visualizations convey the topology but disregard multi-variate attributes. ...
doi:10.1145/1809400.1809408
fatcat:sy3beqnizjcjphoxevj7ejsngy
Stacking-Based Ensemble Learning of Self-Media Data for Marketing Intention Detection
2019
Future Internet
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Finally, this paper examines the effects of classifier associations and uses the optimal configuration to help people efficiently identify marketing intention. ...
Second, the decision tree model is simplified by decision tree pruning to save computing resources and reduce the time complexity. ...
This algorithm finds popular words according to the distribution of the attention and time of users. ...
doi:10.3390/fi11070155
fatcat:zdiy5q2inrhunmakjgh2iytdpu
Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth
[article]
2021
arXiv
pre-print
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The approaches are classified based on five categories: data wrangling, data exploration, feature identification, object reconstruction, as well as education and outreach. ...
In each of these steps, the workflow systematically incorporates high-performance computing to efficiently work with multi-variate multi-dimensional data. ...
The system allows users to select specific halos through the merger tree and organize the tree based on other physical variables such as velocity and mass. ...
arXiv:2106.00152v1
fatcat:i4e6jsx5k5flbgk7hbf5i5cpre
Hierarchical difference scatterplots interactive visual analysis of data cubes
2009
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09
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We discuss concepts of tightly coupling HDS to other types of tree visualizations and propose the integration in a setup of multiple views, which are linked by interactive queries on the data. ...
Selective drill down ensures that users can increase the amount of detail incrementally for sub-trees of interest. This is an important aspect regarding the scalability of HDS. ...
As discussed in section 2, most tree visualizations convey the topology but disregard multi-variate attributes. ...
doi:10.1145/1562849.1562856
dblp:conf/kdd/PiringerBHG09
fatcat:hq5xlzdd3zf3rihzw7ls7tirf4
Visual Analysis of Large Graphs
[article]
2010
Eurographics State of the Art Reports
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Effective visual analysis of graphs requires appropriate visual presentations in combination with respective user interaction facilities and algorithmic graph analysis methods. ...
As an important component of visual graph analysis, we discuss various graph algorithmic aspects useful for the different stages of the visual graph analysis process. ...
Acknowledgements We thank Vyara Ivanova, Anna Mitkova, Melanie Goerner, and Robert Rehner for their useful comments and suggestions. ...
doi:10.2312/egst.20101061
fatcat:msw7dtkfvvffrntt3lz246nylm
A Survey on Blockchain-based Internet Service Architecture: Requirements, Challenges, Trends and Future
2019
IEEE Access
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INDEX TERMS Internet service architecture, blockchain, security, decentralized network, multi-plane. ...
The emergence of Internet protocol suites and packet-switching technologies tends to the considerations of security, privacy, scalability, and reliability in layered Internet service architectures. ...
Other data structures such as b-tree and a user-defined vector are also in common use. ...
doi:10.1109/access.2019.2917562
fatcat:kvek7yvzs5fvxhvorq5rcjozji
Data Dissemination Techniques using DBSCAN and DD-Rtree for Spatial Data Mining
2020
International journal of recent technology and engineering
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The power accomplished by various methodologies which already exist will be focusing to the preservation of three-dimensional surroundings such as grid tree, grid files, quad tree and tree like k-d-tree ...
For doing this we are majorly comparing the dynamic distribution using DBSCAN and DD-Rtree algorithm by proposing a DD-Rtree will help us to preserver the spatial vicinity. ...
In this context, it became important to analyze these large and multi-dimensional datasets using distributed data processing (DDM) strategies with economic aggregation portion. ...
doi:10.35940/ijrte.e6578.018520
fatcat:rfh4au4ksfcyzgojzlqedserse
Multi-Modal Data Fusion Techniques and Applications
[chapter]
2009
Multi-Camera Networks
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Fig. 8 . 8 Multi-modal fusion for driver's lane change intent detection (from [41] )
Fig. 9 . 9 Multi-modal guidance message modalities for immersive communication to a user of a Smart Space
Table ...
These constraints render the system scalable, survivable to loss or addition of nodes and modular; for these reasons the distributed systems are very interesting from the point of view of the research ...
doi:10.1016/b978-0-12-374633-7.00011-2
fatcat:drnoysj2fbaifcjdbiiukzbq6u
A Survey On: Content Based Image Retrieval Systems Using Clustering Techniques For Large Data sets
2011
International Journal of Managing Information Technology
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equivalency and compatible relation concepts to improve the performance of the K-Means for using in high dimensional datasets. ...
As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. ...
There are many popular multi-dimensional indexing techniques present; they are Bucketing algorithm-d tree, priority k-d tree [39] , quard-tree, K-D-B tree, hb-tree, R-tree and its variants R + -tree and ...
doi:10.5121/ijmit.2011.3403
fatcat:aitselvzzng7flkjjjn5v27ifq
Modeling and Visualization of Multi-material Volumes
2021
Scientific Visualization
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The terminology of multi-material volumes is discussed. ...
The classification of the multimaterial volumes is given from the spatial partitions, spatial domain for material distribution, types of involved scalar fields and types of models for material distribution ...
User control is necessary for practical users of a modeling system (engineers, designers, artists) to create a material function which describes exactly their intent. ...
doi:10.26583/sv.13.2.09
fatcat:js26xkn6qrdrpa6chzeif5vtbm
Front Matter: Volume 8745
2013
Signal Processing, Sensor Fusion, and Target Recognition XXII
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Bento, GE Intelligent Platforms (United States) 0W Multi-parametric data fusion for enhanced object identification and discrimination S. ...
8745 07 Decentralized closed-loop collaborative surveillance and tracking performance sensitivity to communications connectivity [8745-6] 8745 08 Stochastic context-free grammars for scale-dependent intent ...
These analytics are given a final polish through visualization using a set of multi-dimensional and graph tools tailored to analyst's needs. ...
doi:10.1117/12.2031900
fatcat:dwkpv5gaqfemlpqebcgmquu63i
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