Historical Queries on Wikipedia: A Usability-Driven Approach

2015 ◽  
Author(s):  
Carlo Zaniolo
Keyword(s):  
Historical Queries

Africa and the Ideology of Eurafrica: Neo-Colonialism or Pan-Africanism?

1982 ◽  
Vol 20 (2) ◽  
pp. 221-238 ◽  
Author(s):  
Guy Martin
Keyword(s):  
Present State ◽  
Economic Potential ◽  
Pan Africanism ◽  
Historical Queries

This article is an inquiry into the major causes of the continued state of underdevelopment and dependency of Africa in spite of its enormous wealth and tremendous economic potential. It constitutes a follow-up to earlier, historical queries on the present state of African economies:

scholarly journals An Efficient Snapshot Strategy for Dynamic Graph Storage Systems to Support Historical Queries

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 90838-90846
Author(s):  
Luo Xiangyu ◽  
Luo Yingxiao ◽  
Gui Xiaolin ◽  
Yu Zhenhua
Keyword(s):  
Storage Systems ◽  
Dynamic Graph ◽  
Historical Queries

Kartki z dziejów igołomskiego powiśla

2020 ◽  
Keyword(s):  
Pottery Production ◽  
Wide Audience ◽  
Professional Career ◽  
North East ◽  
Vistula River ◽  
Collective Work ◽  
History Of ◽  
State Of Research ◽  
The Individual ◽  
Historical Queries

„Cards from the history of Igołomia region on the Vistula River” is a monumental, richly illustrated collective work devoted to the history of a patch of Małopolska (Lesser Poland; S Poland) located north-east of Kraków, in the Western Lesser Poland Loess Upland. This area is known to archaeologists for years as a kind of Eldorado, inhabited by subsequent human groups, ranging from Palaeolithic hunter-gatherers, through the shepherds of the Corded Ware culture, to the creators of the Igołomia-Zofipole wheel-trown pottery production center in the late Roman period. It played a significant role also in historical times, thanks to its location in the foreground of the capital of Małopolska. The monograph edited by Dr. Krzysztof Tunia, an archaeologist who has devoted most of his professional career to researching this region, reflects the current state of research on the prehistory and history of this part of the Vistula river. The advantage of the publication is the fact that the individual chapters come „first hand”: from the researchers who have conducted excavations, historical queries or anthropological studies here, and today synthesize their results in a form accessible to a wide audience. The reading is accompanied by the thought of longue durée – it is inevitable, in fact, when in one book one reads about the subsistence strategies of the first farmers from the 6th millennium BC, the innovations of their Slavic successors from the 6th century AD, the bias of local peasants toward the January Uprising or the attitude of the rural population in the face of the atrocities of the Holocaust…

scholarly journals Mining Integrated Sequential Patterns From Multiple Databases

2020 ◽  
Vol 16 (1) ◽  
pp. 1-21
Author(s):  
Christie I. Ezeife ◽  
Vignesh Aravindan ◽  
Ritu Chaturvedi
Keyword(s):  
Processing Time ◽  
Pattern Mining ◽  
Difficult Problem ◽  
Sequential Pattern ◽  
Sequential Patterns ◽  
Frequency Count ◽  
Extended Version ◽  
Complex Queries ◽  
Historical Queries ◽  
Sequence Position

Existing work on multiple databases (MDBs) sequential pattern mining cannot mine frequent sequences to answer exact and historical queries from MDBs having different table structures. This article proposes the transaction id frequent sequence pattern (TidFSeq) algorithm to handle the difficult problem of mining frequent sequences from diverse MDBs. The TidFSeq algorithm transforms candidate 1-sequences to get transaction subsequences where candidate 1-sequences occurred as (1-sequence, itssubsequenceidlist) tuple or (1-sequence, position id list). Subsequent frequent i-sequences are computed using the counts of the sequence ids in each candidate i-sequence position id list tuples. An extended version of the general sequential pattern (GSP)-like candidate generates and a frequency count approach is used for computing supports of itemset (I-step) and separate (S-step) sequences without repeated database scans but with transaction ids. Generated patterns answer complex queries from MDBs. The TidFSeq algorithm has a faster processing time than existing algorithms.

Half-A-Dozen historical queries

1869 ◽  
Vol s4-IV (84) ◽  
pp. 116-116
Author(s):  
Hermentrude
Keyword(s):  
Historical Queries

scholarly journals Historical queries along multiple lines of time evolution

1995 ◽  
Vol 4 (4) ◽  
pp. 703-726 ◽  
Author(s):  
Gad M. Landau ◽  
Jeanette P. Schmidt ◽  
Vassilis J. Tsotras
Keyword(s):  
Time Evolution ◽  
Historical Queries
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