Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Innovative Platform for Designing Hybrid Collaborative & Context-Aware
  Data Mining Scenarios   The process of knowledge discovery involves nowadays a major number of
techniques. Context-Aware Data Mining (CADM) and Collaborative Data Mining
(CDM) are some of the recent ones. the current research proposes a new hybrid
and efficient tool to design prediction models called Scenarios
Platform-Collaborative & Context-Aware Data Mining (SP-CCADM). Both CADM and
CDM approaches are included in the new platform in a flexible manner; SP-CCADM
allows the setting and testing of multiple configurable scenarios related to
data mining at once. The introduced platform was successfully tested and
validated on real life scenarios, providing better results than each standalone
technique-CADM and CDM. Nevertheless, SP-CCADM was validated with various
machine learning algorithms-k-Nearest Neighbour (k-NN), Deep Learning (DL),
Gradient Boosted Trees (GBT) and Decision Trees (DT). SP-CCADM makes a step
forward when confronting complex data, properly approaching data contexts and
collaboration between data. Numerical experiments and statistics illustrate in
detail the potential of the proposed platform.

31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph