Subgroup discovery
M Atzmueller - Wiley Interdisciplinary Reviews: Data Mining and …, 2015 - Wiley Online Library
Subgroup discovery is a broadly applicable descriptive data mining technique for identifying
interesting subgroups according to some property of interest. This article summarizes …
interesting subgroups according to some property of interest. This article summarizes …
Deep learning-based socio-demographic information identification from smart meter data
Smart meters provide large amounts of data and the value of this data is getting increased
attention because a better understanding of the characteristics of consumers helps utilities …
attention because a better understanding of the characteristics of consumers helps utilities …
Impact of battery storage on residential energy consumption: An Australian case study based on smart meter data
Advanced metering infrastructure has been widely recognized as a key enabling factor for
delivering a range of benefits to the electricity industry as well as to energy consumers. The …
delivering a range of benefits to the electricity industry as well as to energy consumers. The …
A Big Data platform for smart meter data analytics
Smart grids have started generating an ever increasingly large volume of data. Extensive
research has been done in meter data analytics for small data sets of electrical grid and …
research has been done in meter data analytics for small data sets of electrical grid and …
Feature construction and calibration for clustering daily load curves from smart-meter data
R Al-Otaibi, N **, T Wilcox… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes and compares feature construction and calibration methods for
clustering daily electricity load curves. Such load curves describe electricity demand over a …
clustering daily electricity load curves. Such load curves describe electricity demand over a …
Identifying key factors of student academic performance by subgroup discovery
Identifying the factors that influence student academic performance is essential to provide
timely and effective support interventions. The data collected during enrolment and after …
timely and effective support interventions. The data collected during enrolment and after …
Towards a rigorous consideration of occupant behaviours of residential households for effective electrical energy savings: An overview
There are two primary ways to save energy within a building:(1) through improving building
engineering structures and adopting efficient appliance ownership, and (2) through …
engineering structures and adopting efficient appliance ownership, and (2) through …
Distribution line parameter estimation under consideration of measurement tolerances
AM Prostejovsky, O Gehrke, AM Kosek… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
State estimation and control approaches in electric distribution grids rely on precise electric
models that may be inaccurate. This work presents a novel method of estimating distribution …
models that may be inaccurate. This work presents a novel method of estimating distribution …
Robust subgroup discovery: Discovering subgroup lists using MDL
We introduce the problem of robust subgroup discovery, ie, finding a set of interpretable
descriptions of subsets that 1) stand out with respect to one or more target attributes, 2) are …
descriptions of subsets that 1) stand out with respect to one or more target attributes, 2) are …
[BOOK][B] Learning to play: reinforcement learning and games
A Plaat - 2020 - books.google.com
In this textbook the author takes as inspiration recent breakthroughs in game playing to
explain how and why deep reinforcement learning works. In particular he shows why two …
explain how and why deep reinforcement learning works. In particular he shows why two …