Login / Signup
BigMine
2012
2016
2012
2016
Keyphrases
Publications
2016
Harish S. Bhat
,
R. W. M. A. Madushani
,
Shagun Rawat
Scalable SDE Filtering and Inference with Apache Spark.
BigMine
(2016)
Nesreen K. Ahmed
,
Theodore L. Willke
,
Ryan A. Rossi
Exact and Estimation of Local Edge-centric Graphlet Counts.
BigMine
(2016)
Preface.
BigMine
(2016)
Md. Abdul Kader
,
Arnold P. Boedihardjo
,
Sheikh Motahar Naim
,
Mahmud Shahriar Hossain
Contextual Embedding for Distributed Representations of Entities in a Text Corpus.
BigMine
(2016)
Qiang Ma
,
Musen Wen
,
Zhen Xia
,
Datong Chen
A Sub-linear, Massive-scale Look-alike Audience Extension System A Massive-scale Look-alike Audience Extension.
BigMine
(2016)
Manan Shah
Disease Propagation in Social Networks: A Novel Study of Infection Genesis and Spread on Twitter.
BigMine
(2016)
Mudhar Bin Rabieah
,
Christos-Savvas Bouganis
FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine.
BigMine
(2016)
Hongxia Yang
,
Quan Lu
,
Angus Xianen Qiu
,
Chun Han
Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features.
BigMine
(2016)
volume 53, 2016
Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016
BigMine
53 (2016)
2015
Xiatian Zhang
,
Wei Fan
,
Nan Du
Random Decision Hashing for Massive Data Learning.
BigMine
(2015)
Róbert Ormándi
,
Hongxia Yang
,
Quan Lu
Scalable Multidimensional Hierarchical Bayesian Modeling on Spark.
BigMine
(2015)
Zhinoos Razavi Hesabi
,
Timos K. Sellis
,
Xiuzhen Zhang
Anytime Concurrent Clustering of Multiple Streams with an Indexing Tree.
BigMine
(2015)
Wei Fan
,
Albert Bifet
,
Qiang Yang
,
Philip S. Yu
Preface.
BigMine
(2015)
Marwan Hassani
,
Pascal Spaus
,
Alfredo Cuzzocrea
,
Thomas Seidl
Adaptive Stream Clustering Using Incremental Graph Maintenance.
BigMine
(2015)
Peter Reutemann
,
Geoff Holmes
Big Data with ADAMS.
BigMine
(2015)
Joaquin Vanschoren
,
Jan N. van Rijn
,
Bernd Bischl
Taking machine learning research online with OpenML.
BigMine
(2015)
Padmashree Ravindra
,
Rajeev Gupta
,
Kemafor Anyanwu
Shared Execution of Clustering Tasks.
BigMine
(2015)
Ritaban Dutta
,
Heiko Mueller
,
Daniel V. Smith
,
Aruneema Das
,
Jagannath Aryal
Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System.
BigMine
(2015)
volume 41, 2015
Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2015, Sydney, Australia, August 10, 2015
BigMine
41 (2015)
2014
Thibault Debatty
,
Pietro Michiardi
,
Olivier Thonnard
,
Wim Mees
Scalable Graph Building from Text Data.
BigMine
(2014)
Basheer Hawwash
,
Olfa Nasraoui
From Tweets to Stories: Using Stream-Dashboard to weave the twitter data stream into dynamic cluster models.
BigMine
(2014)
Carlos Ordonez
,
Yiqun Zhang
,
Wellington Cabrera
The Gamma Operator for Big Data Summarization on an Array DBMS.
BigMine
(2014)
Wei Fan
,
Albert Bifet
,
Qiang Yang
,
Philip S. Yu
Preface.
BigMine
(2014)
Dino Ienco
,
Indre Zliobaite
,
Bernhard Pfahringer
High density-focused uncertainty sampling for active learning over evolving stream data.
BigMine
(2014)
Abhik Ray
,
Larry Holder
,
Sutanay Choudhury
Frequent Subgraph Discovery in Large Attributed Streaming Graphs.
BigMine
(2014)
Mohammad Taha Bahadori
,
Yi Chang
,
Bo Long
,
Yan Liu
Scalable Heterogeneous Transfer Ranking.
BigMine
(2014)
Zhuolin Qiu
,
Bin Wu
,
Bai Wang
,
Le Yu
Gibbs Collapsed Sampling for Latent Dirichlet Allocation on Spark.
BigMine
(2014)
Udayan Khurana
,
Srinivasan Parthasarathy
,
Deepak S. Turaga
FAQ: A Framework for Fast Approximate Query Processing on Temporal Data.
BigMine
(2014)
Shingo Takamatsu
,
Carlos Guestrin
Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning.
BigMine
(2014)
Xiao Qin
,
Ramoza Ahsan
,
Xika Lin
,
Elke A. Rundensteiner
,
Matthew O. Ward
iPARAS: Incremental Construction of Parameter Space for Online Association Mining.
BigMine
(2014)
Fanglin Li
,
Bin Wu
,
Liutong Xu
,
Chuan Shi
,
Jing Shi
A Fast Distributed Stochastic Gradient Descent Algorithm for Matrix Factorization.
BigMine
(2014)
David Sergio Matusevich
,
Carlos Ordonez
A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries.
BigMine
(2014)
Robert Kessl
,
Nilothpal Talukder
,
Pranay Anchuri
,
Mohammed J. Zaki
Parallel Graph Mining with GPUs.
BigMine
(2014)
João Duarte
,
João Gama
Ensembles of Adaptive Model Rules from High-Speed Data Streams.
BigMine
(2014)
Dirk Habich
,
Stefanie Gahrig
,
Wolfgang Lehner
Towards Optimal Execution of Density-based Clustering on Heterogeneous Hardware.
BigMine
(2014)
volume 36, 2014
Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014
BigMine
36 (2014)
2013
George Valkanas
,
Dimitrios Gunopulos
,
Ioannis Boutsis
,
Vana Kalogeraki
An architecture for detecting events in real-time using massive heterogeneous data sources.
BigMine
(2013)
Richard E. Edwards
,
Joshua R. New
,
Lynne E. Parker
Estimating building simulation parameters via Bayesian structure learning.
BigMine
(2013)
James Howard
,
William A. Hoff
Forecasting building occupancy using sensor network data.
BigMine
(2013)
Christopher Krauss
,
Lars George
,
Stefan Arbanowski
TV predictor: personalized program recommendations to be displayed on SmartTVs.
BigMine
(2013)
Marcelo Mendoza
,
Barbara Poblete
,
Felipe Bravo-Marquez
,
Daniel Gayo-Avello
Long-memory time series ensembles for concept shift detection.
BigMine
(2013)
Farhana H. Zulkernine
,
Patrick Martin
,
Wendy Powley
,
Sima Soltani
,
Serge Mankovski
,
Mark Addleman
CAPRI: a tool for mining complex line patterns in large log data.
BigMine
(2013)
Gautam S. Thakur
,
Pan Hui
,
Ahmed Helmy
Data-driven study of urban infrastructure to enable city-wide ubiquitous computing.
BigMine
(2013)
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013
BigMine
(2013)
Jonathan W. Berry
,
Matthew Oster
,
Cynthia A. Phillips
,
Steven J. Plimpton
,
Timothy M. Shead
Maintaining connected components for infinite graph streams.
BigMine
(2013)
Zheyi Rong
,
Jeroen De Knijf
Direct out-of-memory distributed parallel frequent pattern mining.
BigMine
(2013)
Xavier Amatriain
Big & personal: data and models behind netflix recommendations.
BigMine
(2013)
Chen Jin
,
Qiang Fu
,
Huahua Wang
,
Ankit Agrawal
,
William Hendrix
,
Wei-keng Liao
,
Md. Mostofa Ali Patwary
,
Arindam Banerjee
,
Alok N. Choudhary
Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective.
BigMine
(2013)
Andreia Silva
,
Cláudia Antunes
Pushing constraints into data streams.
BigMine
(2013)
Ning Guo
,
Yanhua Yu
,
Meina Song
,
Junde Song
,
Yu Fu
Soft-CsGDT: soft cost-sensitive Gaussian decision tree for cost-sensitive classification of data streams.
BigMine
(2013)