Results 21 to 30 of about 42,688,929 (320)
Seaborn: Statistical Data Visualization
seaborn is a library for making statistical graphics in Python. It provides a high-level interface to matplotlib and integrates closely with pandas data structures. Functions in the seaborn library expose a declarative, dataset-oriented API that makes it
Michael L. Waskom
semanticscholar +1 more source
Data Structures for Mobile Data [PDF]
The authors present a set of novel data structures for the efficient maintenance of various continuous and discrete attributes of mobile data. A Kinetic Data Structure (KDS) maintains an attribute of interest in a system of geometric objects undergoing continuous motion.
Basch, Julien +2 more
openaire +2 more sources
Data Structures for Statistical Computing in Python
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental ...
Wes McKinney
semanticscholar +1 more source
Compressed Data Structures for Dynamic Sequences [PDF]
We consider the problem of storing a dynamic string $S$ over an alphabet $\Sigma=\{\,1,\ldots,\sigma\,\}$ in compressed form. Our representation supports insertions and deletions of symbols and answers three fundamental queries: $\mathrm{access}(i,S ...
A. Gupta +14 more
core +1 more source
Transfer posterior error probability estimation for peptide identification
Background In shotgun proteomics, database searching of tandem mass spectra results in a great number of peptide-spectrum matches (PSMs), many of which are false positives.
Xinpei Yi, Fuzhou Gong, Yan Fu
doaj +1 more source
The increase of distributed energy resources (DERs) in low voltage (LV) distribution networks requires the ability to perform an accurate power flow analysis (PFA) in unbalanced systems.
Stefanos Petridis +5 more
doaj +1 more source
A vision for smart and sustainable cities
Our built environment is characterized by large, ever‐expanding and highly complex cities. The spatial extent of the interconnected systems that serve these cities leads to higher vulnerability to disruption.
Amr Elnashai, Hussam Mahmoud
doaj +1 more source
Statistical structures for internet-scale data management [PDF]
Efficient query processing in traditional database management systems relies on statistics on base data. For centralized systems, there is a rich body of research results on such statistics, from simple aggregates to more elaborate synopses such as ...
Ntarmos, N. +2 more
core +2 more sources
Qubit Data Structures for Analyzing Computing Systems [PDF]
Qubit models and methods for improving the performance of software and hardware for analyzing digital devices through increasing the dimension of the data structures and memory are proposed.
Chumachenko, Svetlana +3 more
core +1 more source
We present structured data fusion (SDF) as a framework for the rapid prototyping of knowledge discovery in one or more possibly incomplete data sets. In SDF, each data set—stored as a dense, sparse, or incomplete tensor—is factorized with a matrix or tensor decomposition.
Sorber, Laurent +2 more
openaire +1 more source

