[PDF] Top 20 Data stream management and mining
Has 10000 "Data stream management and mining" found on our website. Below are the top 20 most common "Data stream management and mining".
Data stream management and mining
... prototypes: STREAM ( [10] ), TelegraphCQ ( [11] ), and Aurora-Medusa-Borealis ( [12] ...). STREAM is the result of a project at Stanford University: a new system has been built from scratch ... Voir le document complet
15
Analysis and Data Mining of Moving Object Trajectories
... Mohamed Khalil EL MAHRSI RÉSUMÉ : Dans cette thèse, nous explorons deux problèmes de recherche liés à la gestion et à la fouille de données de trajectoires d’objets mobiles. Dans un premier temps, nous étudions ... Voir le document complet
187
Sequential pattern mining on multimedia data
... multimedia data grows from day to day with ever increasing acquisition and storage ...complex data to extract knowledge is a challenging ...patterns and finding their occurrences in the ... Voir le document complet
8
Analysis and data mining of moving object trajectories
... Résumé Dans cette thèse, nous explorons deux problèmes de recherche liés à la gestion et à la fouille de données de trajectoires d’objets mobiles. Dans un premier temps, nous étudions l’échantillonnage de flux de ... Voir le document complet
187
Spatio-Temporal data mining: From big data to patterns
... spatial and spatio- temporal databases are ...1998) and (Sanhes et al., 2013). In addition, methods of spatio-temporal data mining often generate a lot of patterns, sometimes more than the ... Voir le document complet
3
Tweet Data Mining: the Cultural Microblog Contextualization Data Set
... In the second analysis we looked more at the text of the tweets. To start with, we extract the most common words, but also the most frequent hashtags. We analyzed co-occurrences of terms so that it is possible to ... Voir le document complet
15
A Practical Data-Driven Framework for Parallel Data Mining
... with existing Java programs. Recent works such as JPVM [8] try to address this problem by developing Java libraries for MPI and PVM. These libraries provide a Java interface allowing Java programs to interact ... Voir le document complet
8
Interactive Data-Driven Research: the place where databases and data mining research meet
... groups and the set of groups on the fly, using approximation techniques to sim- plify group ...value and if necessary by specifying a limited set of items for which the top-k closed frequent itemsets are ... Voir le document complet
8
Towards user assistance in Data Mining
... the Data Preparation, Modeling and ...the data and all he has to do is to model it, but without any assistance (only the minimum information about the operators) and without using the ... Voir le document complet
50
An ontology driven data mining process
... base and a mining oriented database rebuilt from source raw ...business and data understanding, data preparation and model evaluation ...whole data mining pro- ... Voir le document complet
9
Event-based social media data mining
... As of July 2009 LinkedCT Reactome Taxonomy KEGG PubMed GeneID Pfam UniProt OMIM PDB Symbol ChEBI Daily Med Disea- some CAS HGNC Inter Pro Drug Bank UniParc UniRef ProDom PROSITE Gene [r] ... Voir le document complet
151
Data mining for structure type prediction
... structure types. It was determined if an alloy system was compound forming with 13.. calculations using DMQC, compared to 98 calculations required with random structure selection. sho[r] ... Voir le document complet
42
Data-mining natural language materials syntheses
... Science and Engineering Abstract Discovering, designing, and developing a novel material is an arduous task, in- volving countless hours of human effort and ...techniques and high throughput ... Voir le document complet
132
Data stream dataset of SARS-CoV-2 genome
... The data is organized into three main directories: “SARS-CoV-2 data”, “Virus-Host DB data” and “Other viruses ...“RawData.mat” and “RawData.xlsx”, and four sub-directories named ... Voir le document complet
11
Sliding HyperLogLog: Estimating cardinality in a data stream
... large. IV. S IMULATIONS AND EXPERIMENTAL RESULTS In this section, the Sliding HyperLogLog algorithm is validated using two kinds of data. First, we simulate a generic data stream. It can be ... Voir le document complet
7
Improving IoT data stream analytics using summarization techniques
... technique, and the hashing ...streams and detect ...the stream before the classification ...the stream setting by adapting a batch-incremental strategy with the kNN algorithm to obtain the ... Voir le document complet
151
A sliced inverse regression approach for data stream
... on data arriving sequentially by blocks in a ...blocks and estimating the EDR direction by the SIR (Sliced Inverse Regression) ...blocks and the running time for large sample ...complexity and ... Voir le document complet
30
Linking and Mining Event-centric Data in the Semantic Web
... 1.1.1 Data Reconciliation A large amount of event-centric data is spread over the Web, however, often incomplete and always locked into multiple ...this data is a serious challenge towards ... Voir le document complet
192
Data warehousing, OLAP, and data mining : an integrated strategy for use at FAA
... The emerging technologies of data warehouses, data marts, operational data stores, knowledge repositories, OLAP, and data mining have been and are currently being applie[r] ... Voir le document complet
77
A fuzzy expert system architecture for data and event stream processing
... objects and is known as the third era of information ...acquired data which need to be processed to be more ...fixed data like classical databases or files, the new algorithms have to deal with ... Voir le document complet
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