Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parallel Large-Scale Attribute Reduction on Cloud Systems   The rapid growth of emerging information technologies and application
patterns in modern society, e.g., Internet, Internet of Things, Cloud Computing
and Tri-network Convergence, has caused the advent of the era of big data. Big
data contains huge values, however, mining knowledge from big data is a
tremendously challenging task because of data uncertainty and inconsistency.
Attribute reduction (also known as feature selection) can not only be used as
an effective preprocessing step, but also exploits the data redundancy to
reduce the uncertainty. However, existing solutions are designed 1) either for
a single machine that means the entire data must fit in the main memory and the
parallelism is limited; 2) or for the Hadoop platform which means that the data
have to be loaded into the distributed memory frequently and therefore become
inefficient. In this paper, we overcome these shortcomings for maximum
efficiency possible, and propose a unified framework for Parallel Large-scale
Attribute Reduction, termed PLAR, for big data analysis. PLAR consists of three
components: 1) Granular Computing (GrC)-based initialization: it converts a
decision table (i.e., original data representation) into a granularity
representation which reduces the amount of space and hence can be easily cached
in the distributed memory: 2) model-parallelism: it simultaneously evaluates
all feature candidates and makes attribute reduction highly parallelizable; 3)
data-parallelism: it computes the significance of an attribute in parallel
using a MapReduce-style manner. We implement PLAR with four representative
heuristic feature selection algorithms on Spark, and evaluate them on various
huge datasets, including UCI and astronomical datasets, finding our method's
advantages beyond existing solutions.

7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con