Topic: data acquisition
Topic: histogram
Topic: logging data and events
Topic: processing a sequence
Topic: sequence reduction
Topic: statistics
 
Subtopic: time series analysis
Quote: time series analysis should be linear in time and sublinear in space; use data reduction/transformation, indexing methods, and flexible similarity searching [»shasD_2004]
 Quote: StatStream monitors 30,000 time series data streams for statistics and highly correlated pairs; use DFT and grid files; easily parallelized [»shasD_2004]
 Subtopic: sliding window statistics
Quote: sliding window statistics by subdividing the window into basic windows; efficient elimination of old data and incorporation of new data [»shasD_2004]
 Subtopic: multidimensional index
Quote: the Rtree is a multidimensional index by bounding boxes; like the Btree; efficient for points and regions [»shasD_2004]
 Subtopic: discrete Fourier transform, DFT
Quote: rhythmical live movements can be determined within a few millimetres by a three or four term Fourier series [»bernN_1935]
 Quote: a few coefficients of the discrete Fourier transform capture most of the energy in pink (music), brown (stock), and black (ocean) noise [»shasD_2004]
 Subtopic: piecewise linear
Quote: piecewise aggregate approximation divides a time series into equal parts and records the average values; good for distance between series [»shasD_2004]
 Subtopic: singular value decomposition, SVD
Quote: approximate a time series with singular value decomposition; good Euclidean distance; handles short bursts [»shasD_2004]
 Subtopic: sketch pool
Quote: compare white noise by comparing to a sketch pool of random time series; sequences are similar if they are near to the same member of sketch pool [»shasD_2004]

Related Topics
Topic: data acquisition (8 items)
Topic: histogram (5 items)
Topic: logging data and events (17 items)
Topic: processing a sequence (17 items)
Topic: sequence reduction (10 items)
Topic: statistics (12 items)
