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Transform-Data-by-Example (TDE)

Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
2018 Proceedings of the 2018 International Conference on Management of Data - SIGMOD '18  
We thus develop an extensible data transformation system called Transform-Data-by-Example (TDE) that can leverage rich transformation logic in source code, DLLs, web services and mapping tables, so that  ...  The beta version of TDE was released in Office Store for Excel.  ...  . • Search-by-Example. TDE allows end-users to search transformations by examples, a paradigm known as program-by-example (PBE) [14] , first used in FlashFill [10] for data transformation.  ... 
doi:10.1145/3183713.3193539 dblp:conf/sigmod/HeGLWNCCZ18 fatcat:kyrpdhonyvcsdkdwqwq5e3kigm

Transform-data-by-example (TDE)

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narasayya, Surajit Chaudhuri
2018 Proceedings of the VLDB Endowment  
We developed Transform-Data-by-Example (TDE ), which works like a search engine for data transformations.  ...  This process of data transformation is an important part of data preparation, and is known to be difficult and time-consuming for end-users.  ...  TDE works like a search engine, which allows end-users to search transformations by just a few examples, a paradigm known as program-by-example (PBE) [23] that was also used by FlashFill [16] for data  ... 
doi:10.14778/3231751.3231766 fatcat:64dlynmxe5ddndutmfvji6iiqq

The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification [chapter]

Matthew Middlehurst, James Large, Gavin Cawley, Anthony Bagnall
2021 Lecture Notes in Computer Science  
We propose a further extension of these dictionary based classifiers that combines the best elements of the others combined with a novel approach to constructing ensemble members based on an adaptive Gaussian  ...  This advance represents a new state of the art for time series classification.  ...  Acknowledgements This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) iCASE award T206188 sponsored by British Telecom.  ... 
doi:10.1007/978-3-030-67658-2_38 fatcat:oneyy75xzjafpliqpzisx345mi

Hardware Implementation of TDES Crypto System with On Chip Verification in FPGA [article]

Prasun Ghosal, Malabika Biswas, Manish Biswas
2010 arXiv   pre-print
A fast and compact FPGA based implementation of the Data Encryption Standard (DES) and Triple DES algorithm is presented in this paper that is widely used in cryptography for securing the Internet traffic  ...  In order to confirm the expected behavior of these algorithms, the proposed design was extensively simulated, synthesized for different FPGA devices both in Spartan and Virtex series from Xilinx viz.  ...  Among the different cryptographic algorithms, the most popular example in the field of symmetric ciphers is the Data Encryption Standard (DES) algorithm, which was developed by IBM in the midseventies.  ... 
arXiv:1002.4836v1 fatcat:6xgyzzjmebawxini6uvayhi72i

Sharing, finding and reusing end-user code for reformatting and validating data

Christopher Scaffidi
2010 Journal of Visual Languages and Computing  
The first method is "search-by-match," where a user specifies examples of data, and the repository retrieves topes that can reformat and validate that data.  ...  To help users with automatically reformatting and validating spreadsheets and other data sets, prior work introduced a user-extensible data model called "topes" and a supporting visual programming language  ...  Acknowledgements This work was funded in part by NSF via the EUSES Consortium (ITR-0325273) and by NSF under grants CCF-0438929, CCF-0613823 and CCF-0811610.  ... 
doi:10.1016/j.jvlc.2010.06.001 fatcat:uh2xoac4y5hxpnxkvvxwk7g4cm

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case [article]

Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion
2020 arXiv   pre-print
Time series data are prevalent in many scientific and engineering disciplines. Time series forecasting is a crucial task in modeling time series data, and is an important area of machine learning.  ...  In this work we developed a novel method that employs Transformer-based machine learning models to forecast time series data.  ...  Depite the amazing property of TDEs, to the best of our knowledge, TDEs haven't been studied extensively for machine learning models.  ... 
arXiv:2001.08317v1 fatcat:r7jvyfcvqbajrg5mleyowfzaau

HIVE-COTE 2.0: a new meta ensemble for time series classification

Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony Bagnall
2021 Machine Learning  
AbstractThe Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification.  ...  Additionally, we introduce the Arsenal, an ensemble of ROCKET classifiers as a new HIVE-COTE 2.0 constituent.  ...  We aim to mitigate this issue with the TDE multivariate extension.  ... 
doi:10.1007/s10994-021-06057-9 fatcat:qlsc2larojaetgotjv7rzk2i74

On Improving User Response Times in Tableau

Pawel Terlecki, Fei Xu, Marianne Shaw, Valeri Kim, Richard Wesley
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
In this paper we discuss key data processing components in Tableau: the query processor, query caches, Tableau Data Engine [1, 2] and Data Server.  ...  The rapid increase in data volumes and complexity of applied analytical tasks poses a big challenge for visualization solutions.  ...  Tableau Data Engine The Tableau Data Engine (TDE) is a read-only column store implemented by Tableau. It has been described in [1] and [2] .  ... 
doi:10.1145/2723372.2742799 dblp:conf/sigmod/TerleckiXSKW15 fatcat:vd6xnnluavf6hlud5gullo2hgu

A time-efficient and accurate strain estimation concept for ultrasonic elastography using iterative phase zero estimation

A. Pesavento, C. Perrey, M. Krueger, H. Ermert
1999 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
In this paper, an extension of the algorithm is presented that iteratively takes into account the time shifts of the signals to overcome the problems of aliasing and accuracy in the estimation of the phase  ...  Thus, it can be proven that the algorithm is equivalent to the search of the maximum of the correlation function.  ...  an example in Fig. 1 .  ... 
doi:10.1109/58.796111 pmid:18244299 fatcat:4stg3hj4wvb37jl2ts7e35ue3a

Robust Human-Computer Interaction for Unstable Camera Systems

Hao ZHU, Qing YOU, Wenjie CHEN
2018 IEICE transactions on information and systems  
Our method removes not only camera jitters but also target motions simultaneously, therefore offering an comfortable environment for users to do further interactive operations.  ...  The collected data shows that human input suffers heavy deviations which are harmful to interaction accuracy.  ...  For example in [2] - [4] , extensive experiments have demonstrated that even less than 20% errors would lead to significant performance degradation for tracking algorithms.  ... 
doi:10.1587/transinf.2017edp7248 fatcat:sbp375gzyfcldgn5h53mjd2q7u

Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code

Cong Yan, Yeye He
2018 Proceedings of the 2018 International Conference on Management of Data - SIGMOD '18  
of benefits including better table understanding, improved search relevance, precise data validation, and semantic data transformation.  ...  Users only need to provide a set of positive examples for a target data type and a search keyword, our system will automatically identify relevant code, and synthesize type-detection functions using execution  ...  Transform-Data-by-Example (TDE) 8 [24] . TDE is intended to automate data transformation by reusing relevant code to synthesize new programs consistent with given input-output examples.  ... 
doi:10.1145/3183713.3196888 dblp:conf/sigmod/YanH18 fatcat:af5xalxd7vhxvjon5gdqxw5lfa

An approach for Model-Driven test generation

J.J. Gutierrez, M.J. Escalona, M. Mejias, I. Ramos, J. Torres
2009 2009 Third International Conference on Research Challenges in Information Science  
Model-Driven Engineering is a new paradigm that can help to minimize test cases generation costs and can ensure quality of results.  ...  ACKNOWLEDGMENT This research has been supported by the project QSimTest (TIN2007-67843-C06_03) and by the RePRIS project of the Ministerio de Educación y Ciencia (TIN2007-30391-E), Spain.  ...  We would like to thank Antonio Molina González, Emilio Martinez Force and Antonio Gómez Rodríguez by their interesting practical feedback in the real application of this approach.  ... 
doi:10.1109/rcis.2009.5089294 dblp:conf/rcis/CuaresmaGMRT09 fatcat:rwkosvtqjrblxcsn4xuvfzm5x4

Jigsaw: Large Language Models meet Program Synthesis [article]

Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
2021 arXiv   pre-print
On the optimistic side, such large language models have the potential to improve productivity by providing an automated AI pair programmer for every programmer in the world.  ...  Our experience suggests that as these large language models evolve for synthesizing code from intent, jigsaw has an important role to play in improving the accuracy of the systems.  ...  Transform-Data-by-Example (TDE): An Extensible Search [40] Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and Matthew Engine for Data Transformations. Proc.  ... 
arXiv:2112.02969v1 fatcat:kjdac665kzhthldiqckru3in3u

Time-Delay Estimation Using Ground-Penetrating Radar With a Support Vector Regression-Based Linear Prediction Method

Jingjing Pan, Cedric Le Bastard, Yide Wang, Meng Sun
2018 IEEE Transactions on Geoscience and Remote Sensing  
The proposed method is tested both with numerical and experimental data. Both of the results demonstrate the effectiveness of the proposed method.  ...  But TDE tends to be a challenging task in GPR applications, in the scenarios of overlapping, coherent signals and limited snapshots.  ...  David Guilbert for the data from the first experiment and Dr. Jean-Michel Simonin, Dr. Vincent Baltazart and Dr. Xavier Dérobert for the data from the second experiment.  ... 
doi:10.1109/tgrs.2017.2784567 fatcat:fxomo3odkze6bc5gufox5gxmim

Database Encryption [chapter]

Alex Biryukov, Christophe De Cannière, William E. Winkler, Charu C. Aggarwal, Markus Kuhn, Luc Bouganim, Yanli Guo, Bart Preneel, Gerrit Bleumer, Tor Helleseth, Ran Canetti, Mayank Varia (+35 others)
2011 Encyclopedia of Cryptography and Security  
Database security, Data confidentiality, Hardware Security Module Definition Database encryption refers to the use of encryption techniques to transform a plain text database into a (partially) encrypted  ...  For example, an intruder can infiltrate the information system and try to mine the database footprint on disk.  ...  to use indexes for equality predicates encrypting the searched value.  ... 
doi:10.1007/978-1-4419-5906-5_677 fatcat:banirq7k4zatjp4gue5o7p2hei
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