Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lamis Hawarah"'
Publikováno v:
Energy and Buildings. 67:668-679
Power management in homes and offices requires appliance usage prediction when the future user requests are not available. The randomness and uncertainties associated with an appliance usage make the prediction of appliance usage from energy consumpt
Publikováno v:
Energy. 48:128-134
This paper presents methods for prediction of energy consumption of different appliances in homes. The aim is to predict the next day electricity consumption for some services in homes. Historical data for a set of homes in France was used. Two basic
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783642132070
ICAISC (1)
ICAISC (1)
This paper deals with the problem of the user behavior prediction in a home automation system. Anticipating the needed energy for a service is based on the available prediction (like user requests) which contains the uncertainties. When the future us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a25aca783e182bfe1f572a49dd17583f
https://hal.archives-ouvertes.fr/hal-00637472
https://hal.archives-ouvertes.fr/hal-00637472
Publikováno v:
Studies in Computational Intelligence ISBN: 9783540880660
ICDM Workshops
ICDM Workshops
This paper deals with the problem of missing values in decision trees during classification. Our approach is derived from the ordered attribute trees method, proposed by Lobo and Numao in 2000, which builds a decision tree for each attribute and uses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fed26f635c6c806f00889c1660431e2
https://doi.org/10.1007/978-3-540-88067-7_4
https://doi.org/10.1007/978-3-540-88067-7_4
Publikováno v:
SYNASC
We describe the complexity of an approach to fill missing values in decision trees during classification. This approach is derived from the ordered attribute trees method which builds a decision tree for each attribute and uses these trees to fill th
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540378716
DEXA
DEXA
We describe an approach to fill missing values in decision trees during classification. This approach is derived from the ordered attribute trees method, proposed by Lobo and Numao in 2000, which builds a decision tree for each attribute and uses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc9e1798f6c0dee6662971b50f6d3fb
https://doi.org/10.1007/11827405_19
https://doi.org/10.1007/11827405_19
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540229360
DEXA
DEXA
We describe an approach to fill missing values in decision trees during classification. This approach is derived from the ordered attribute trees method, propo sed by Lobo and Numao in 2000, which builds a decision tree for each attribute and uses th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a1dbf7d52eb3a5d456263296c271550
https://doi.org/10.1007/978-3-540-30075-5_53
https://doi.org/10.1007/978-3-540-30075-5_53
Publikováno v:
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06); 2006, p325-329, 5p