Sprintz
暂无分享,去创建一个
[1] Thomas Boutell,et al. PNG (Portable Network Graphics) Specification Version 1.0 , 1997, RFC.
[2] Klemens Böhm,et al. A time-series compression technique and its application to the smart grid , 2014, The VLDB Journal.
[3] Fred Popowich,et al. Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 , 2016, Scientific Data.
[4] S. Golomb. Run-length encodings. , 1966 .
[5] R. E. Lee,et al. Distribution-free multiple comparisons between successive treatments , 1995 .
[6] John V. Guttag,et al. EXTRACT: Strong Examples from Weakly-Labeled Sensor Data , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[7] Shaou-Gang Miaou,et al. Multichannel ECG compression using multichannel adaptive vector quantization , 2001, IEEE Trans. Biomed. Eng..
[8] Didier Stricker,et al. Towards global aerobic activity monitoring , 2011, PETRA '11.
[9] Sabine Van Huffel,et al. Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization , 2015, IEEE Transactions on Biomedical Engineering.
[10] Eamonn J. Keogh,et al. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.
[11] Eamonn J. Keogh,et al. Locally adaptive dimensionality reduction for indexing large time series databases , 2001, SIGMOD '01.
[12] Jyrki Alakuijala,et al. Brotli Compressed Data Format , 2016, RFC.
[13] Scott Shenker,et al. Spark: Cluster Computing with Working Sets , 2010, HotCloud.
[14] Karl Aberer,et al. An Evaluation of Model-Based Approaches to Sensor Data Compression , 2013, IEEE Transactions on Knowledge and Data Engineering.
[15] Eamonn J. Keogh,et al. An online algorithm for segmenting time series , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[16] Eamonn J. Keogh,et al. Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets , 2013, SDM.
[17] Eamonn J. Keogh,et al. A symbolic representation of time series, with implications for streaming algorithms , 2003, DMKD '03.
[18] Aladdin Enterprises,et al. ZLIB Compressed Data Format Specification version 3.3 , 1996 .
[19] Leonid Boytsov,et al. Decoding billions of integers per second through vectorization , 2012, Softw. Pract. Exp..
[20] Solomon W. Golomb,et al. Run-length encodings (Corresp.) , 1966, IEEE Trans. Inf. Theory.
[21] Alex Pentland,et al. Social fMRI: Investigating and shaping social mechanisms in the real world , 2011, Pervasive Mob. Comput..
[22] Eric Wang,et al. LittleTable: A Time-Series Database and Its Uses , 2017, SIGMOD Conference.
[23] Jordan M. Malof,et al. Distributed solar photovoltaic array location and extent dataset for remote sensing object identification , 2016, Scientific Data.
[24] Sergey Malinchik,et al. SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model , 2013, 2013 IEEE 13th International Conference on Data Mining.
[25] Eamonn J. Keogh,et al. Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data , 2011, 2011 IEEE 11th International Conference on Data Mining.
[26] Marcin Zukowski,et al. Super-Scalar RAM-CPU Cache Compression , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[27] John Lach,et al. Adaptive lossless compression in wireless body sensor networks , 2009, BODYNETS.
[28] Daniel Lemire,et al. A Better Alternative to Piecewise Linear Time Series Segmentation , 2006, SDM.
[29] Naveen Verma,et al. A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System , 2010, IEEE Journal of Solid-State Circuits.
[30] Eamonn J. Keogh,et al. iSAX: disk-aware mining and indexing of massive time series datasets , 2009, Data Mining and Knowledge Discovery.
[31] Zheng Shao,et al. Hive - a petabyte scale data warehouse using Hadoop , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[32] Timothy B. Terriberry,et al. Definition of the Opus Audio Codec , 2012, RFC.
[33] Wolfgang Lehner,et al. Fast integer compression using SIMD instructions , 2010, DaMoN '10.
[34] Peter Deutsch,et al. DEFLATE Compressed Data Format Specification version 1.3 , 1996, RFC.
[35] Benton H. Calhoun,et al. Body Area Sensor Networks: Challenges and Opportunities , 2009, Computer.
[36] Robert F. Rice. Some practical universal noiseless coding techniques, part 3, module PSl14,K+ , 1991 .
[37] Hairong Kuang,et al. The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).
[38] Alexander A. Stepanov,et al. SIMD-based decoding of posting lists , 2011, CIKM '11.
[39] Anthony Rowe,et al. Respawn: A Distributed Multi-resolution Time-Series Datastore , 2013, 2013 IEEE 34th Real-Time Systems Symposium.
[40] Hongfei Yan,et al. A General SIMD-Based Approach to Accelerating Compression Algorithms , 2015, TOIS.
[41] Martin Fuchs,et al. High Speed Lossless Image Compression , 2015, GCPR.
[42] Helena M. Mentis,et al. Instructing people for training gestural interactive systems , 2012, CHI.
[43] Eamonn J. Keogh,et al. iSAX 2.0: Indexing and Mining One Billion Time Series , 2010, 2010 IEEE International Conference on Data Mining.
[44] David E. Culler,et al. BTrDB: Optimizing Storage System Design for Timeseries Processing , 2016, FAST.
[45] Sadique Sheik,et al. Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring , 2015 .
[46] Alistair Moffat,et al. Index compression using 64‐bit words , 2010, Softw. Pract. Exp..
[47] Deep Ganguli,et al. Druid: a real-time analytical data store , 2014, SIGMOD Conference.
[48] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[49] Eamonn J. Keogh,et al. HOT SAX: efficiently finding the most unusual time series subsequence , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[50] T. Robinson. Simple Lossless and Near-lossless Waveform Compression , 1994 .
[51] Bernhard Seeger,et al. ChronicleDB: A High-Performance Event Store , 2017, EDBT.
[52] Soma Bandyopadhyay,et al. Signal Characteristics on Sensor Data Compression in IoT -An Investigation , 2016, 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
[53] Qi Huang,et al. Gorilla: A Fast, Scalable, In-Memory Time Series Database , 2015, Proc. VLDB Endow..
[54] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[55] Arijit Ukil,et al. IoT Data Compression: Sensor-Agnostic Approach , 2015, 2015 Data Compression Conference.
[56] Jarek Duda,et al. Asymmetric numeral systems: entropy coding combining speed of Huffman coding with compression rate of arithmetic coding , 2013, 1311.2540.
[57] Eamonn J. Keogh,et al. Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL , 2011, 2011 IEEE 11th International Conference on Data Mining.