A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Filters
Transform-Data-by-Example (TDE)
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)
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]
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]
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
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]
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
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
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
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
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
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
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]
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
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]
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
« Previous
Showing results 1 — 15 out of 481 results