Data
BuzzinsocialmediaTomsHardware

BuzzinsocialmediaTomsHardware

active ARFF Publicly available Visibility: public Uploaded 17-02-2016 by Hilda Fabiola Bernard
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Author: François Kawala (1","2) Ahlame Douzal (1) Eric Gaussier (1) Eustache Diemert (2) Institutions : (1) Université Joseph Fourier (Grenoble I) Laboratoire d'informatique de Grenoble (LIG) (2) BestofMedia Group Source: UCI Please cite: Prédictions d’activité dans les réseaux sociaux en ligne (F. Kawala, A. Douzal-Chouakria, E. Gaussier, E. Dimert), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 16, 2013. Source: Creators : François Kawala (1,2) Ahlame Douzal (1) Eric Gaussier (1) Eustache Diemert (2) Institutions : (1) Université Joseph Fourier (Grenoble I) Laboratoire d'informatique de Grenoble (LIG) (2) BestofMedia Group Donor: BestofMedia (ediemert '@' bestofmedia.com) Data Set Information: Please see [Web Link] Attribute Information: Please see [Web Link] Relevant Papers: Prédictions d’activité dans les réseaux sociaux en ligne (F. Kawala, A. Douzal-Chouakria, E. Gaussier, E. Dimert), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 16, 2013. Citation Request: Prédictions d’activité dans les réseaux sociaux en ligne (F. Kawala, A. Douzal-Chouakria, E. Gaussier, E. Dimert), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 16, 2013.

97 features

NCD_0numeric95 unique values
0 missing
NCD_1numeric93 unique values
0 missing
NCD_2numeric88 unique values
0 missing
NCD_3numeric89 unique values
0 missing
NCD_4numeric83 unique values
0 missing
NCD_5numeric81 unique values
0 missing
NCD_6numeric80 unique values
0 missing
NCD_7numeric77 unique values
0 missing
BL_0numeric441 unique values
0 missing
BL_1numeric450 unique values
0 missing
BL_2numeric460 unique values
0 missing
BL_3numeric460 unique values
0 missing
BL_4numeric452 unique values
0 missing
BL_5numeric432 unique values
0 missing
BL_6numeric413 unique values
0 missing
BL_7numeric399 unique values
0 missing
NAD_0numeric160 unique values
0 missing
NAD_1numeric156 unique values
0 missing
NAD_2numeric152 unique values
0 missing
NAD_3numeric143 unique values
0 missing
NAD_4numeric141 unique values
0 missing
NAD_5numeric127 unique values
0 missing
NAD_6numeric121 unique values
0 missing
NAD_7numeric121 unique values
0 missing
AI_0numeric81 unique values
0 missing
AI_1numeric88 unique values
0 missing
AI_2numeric90 unique values
0 missing
AI_3numeric97 unique values
0 missing
AI_4numeric87 unique values
0 missing
AI_5numeric86 unique values
0 missing
AI_6numeric80 unique values
0 missing
AI_7numeric85 unique values
0 missing
AI_8numeric653 unique values
0 missing
NAC_0numeric644 unique values
0 missing
NAC_1numeric635 unique values
0 missing
NAC_2numeric607 unique values
0 missing
NAC_3numeric598 unique values
0 missing
NAC_4numeric576 unique values
0 missing
NAC_5numeric557 unique values
0 missing
NAC_6numeric553 unique values
0 missing
NAC_7numeric6154 unique values
0 missing
ND_0numeric6137 unique values
0 missing
ND_1numeric6269 unique values
0 missing
ND_2numeric6522 unique values
0 missing
ND_3numeric6720 unique values
0 missing
ND_4numeric6892 unique values
0 missing
ND_5numeric7032 unique values
0 missing
ND_6numeric7010 unique values
0 missing
ND_7numeric3610 unique values
0 missing
CS_0numeric3555 unique values
0 missing
CS_1numeric3621 unique values
0 missing
CS_2numeric3668 unique values
0 missing
CS_3numeric3753 unique values
0 missing
CS_4numeric3764 unique values
0 missing
CS_5numeric3776 unique values
0 missing
CS_6numeric3718 unique values
0 missing
CS_7numeric1597 unique values
0 missing
AT_0numeric1588 unique values
0 missing
AT_1numeric1652 unique values
0 missing
AT_2numeric1683 unique values
0 missing
AT_3numeric1623 unique values
0 missing
AT_4numeric1579 unique values
0 missing
AT_5numeric1505 unique values
0 missing
AT_6numeric1422 unique values
0 missing
AT_7numeric227 unique values
0 missing
NA_0numeric228 unique values
0 missing
NA_1numeric222 unique values
0 missing
NA_2numeric213 unique values
0 missing
NA_3numeric199 unique values
0 missing
NA_4numeric186 unique values
0 missing
NA_5numeric174 unique values
0 missing
NA_6numeric166 unique values
0 missing
NA_7numeric2262 unique values
0 missing
ADL_0numeric2277 unique values
0 missing
ADL_1numeric2326 unique values
0 missing
ADL_2numeric2368 unique values
0 missing
ADL_3numeric2372 unique values
0 missing
ADL_4numeric2340 unique values
0 missing
ADL_5numeric2287 unique values
0 missing
ADL_6numeric2257 unique values
0 missing
ADL_7numeric1726 unique values
0 missing
ASNA_0numeric1731 unique values
0 missing
ASNA_1numeric1780 unique values
0 missing
ASNA_2numeric1782 unique values
0 missing
ASNA_3numeric1776 unique values
0 missing
ASNA_4numeric1749 unique values
0 missing
ASNA_5numeric1754 unique values
0 missing
ASNA_6numeric1714 unique values
0 missing
ASNA_7numeric3069 unique values
0 missing
ASNAC_0numeric3032 unique values
0 missing
ASNAC_1numeric3164 unique values
0 missing
ASNAC_2numeric3266 unique values
0 missing
ASNAC_3numeric3315 unique values
0 missing
ASNAC_4numeric3382 unique values
0 missing
ASNAC_5numeric3429 unique values
0 missing
ASNAC_6numeric3332 unique values
0 missing
ASNAC_7numeric8895 unique values
0 missing

62 properties

28179
Number of instances (rows) of the dataset.
97
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
97
Number of numeric attributes.
0
Number of nominal attributes.
10.98
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
1.75
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
8.56
Third quartile of skewness among attributes of the numeric type.
11.47
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
22.45
Third quartile of standard deviation of attributes of the numeric type.
15026.78
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
46.32
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.07
First quartile of means among attributes of the numeric type.
73.68
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
312.13
Mean of means among attributes of the numeric type.
5.72
First quartile of skewness among attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.17
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
78.09
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
6.93
Mean skewness among attributes of the numeric type.
2.39
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
1154.74
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
7.33
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
1.68
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
7.93
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
162.9
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
99.58
Third quartile of kurtosis among attributes of the numeric type.
3942.77
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.

3 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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