Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SAX Navigator: Time Series Exploration through Hierarchical Clustering   Comparing many long time series is challenging to do by hand. Clustering time
series enables data analysts to discover relevance between and anomalies among
multiple time series. However, even after reasonable clustering, analysts have
to scrutinize correlations between clusters or similarities within a cluster.
We developed SAX Navigator, an interactive visualization tool, that allows
users to hierarchically explore global patterns as well as individual
observations across large collections of time series data. Our visualization
provides a unique way to navigate time series that involves a "vocabulary of
patterns" developed by using a dimensionality reduction technique,Symbolic
Aggregate approXimation(SAX). With SAX, the time series data clusters
efficiently and is quicker to query at scale. We demonstrate the ability of SAX
Navigator to analyze patterns in large time series data based on three case
studies for an astronomy data set. We verify the usability of our system
through a think-aloud study with an astronomy domain scientist.

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The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
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The categories of this paper are: q-fin
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The categories of this paper are: alg-geom
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The categories of this paper are: q-bio