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mathura,
india
Trenutno je 2:47 pop. tukaj
Datum pridružitve maj 24, 2012
4
Priporočila
Shiv K.
@SuiGenSolutions
7,3
7,3
91%
91%
mathura,
india
98 %
Opravljeno delo
96 %
V okviru proračuna
91 %
Pravočasno
32 %
Stopnja ponovnega najema
Scripting | Web Scraping | Custom Web Development
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Portfelj
Portfelj
Yellow Page Directory Scrapper
Amazon Search Wordpress Plugin
Bulk Profile Creator in C#
Real Time Floor Dashboard Charting App
Real Time Floor Dashboard Charting App
Social Media Tracking for US Presidential Election
Android Application for Tow Portal
Yellow Page Directory Scrapper
Amazon Search Wordpress Plugin
Bulk Profile Creator in C#
Real Time Floor Dashboard Charting App
Real Time Floor Dashboard Charting App
Social Media Tracking for US Presidential Election
Android Application for Tow Portal
Ocene
Spremembe shranjene
Prikazanih je1 - 5 od 50+ ocen
€220,00 EUR
PHP
Java
Python
Web Scraping
Software Architecture
+1 več
S
•
$510,00 USD
Java
Android
Objective C
MySQL
AngularJS
•
$475,00 USD
PHP
Python
Software Architecture
MySQL
Data Mining
+1 več
•
$180,00 USD
D
•
$200,00 NZD
•
Izkušnje
Director
avg. 2012 - Trenutno
Full stack consultant
CDO - GSP
jul. 2011 - maj 2012 (10 mesecev, 1 dan)
Full stack Java developer
Izobrazba
M. Tech.
(2 leti)
Kvalifikacije
CCNA
Cisco Systems
2010
Publikacije
A Reduce Time Complexity Technique For Finding Frequent Item Sets
ICDM 2009 held at IMT Gaziabad, "Data Management" pp 258-264. , 2009
-
Intrusion Detection System based on Real Time Rule Accession and Honeypot
International Conference on Computer Network Security and Applications, 15-17 July 2011. LNCS Springer
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Design and implementation of IDS using Snort, Entropy and Alert ranking system
IEEE International Conference on Signal, Communication and Network, Kanyakumari, 21-22 July 2011
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Local Subspace Based Outlier Detection
IC3 2009, CCIS 40, pp. 149-157, 2009. Springer-Verlag Berlin Heidelberg 2009.
Existing studies in outlier detection mostly focus on detecting outliers in full feature space. But most algorithms tend to break down in highdimensional feature spaces because classes of objects often exist in specific subspace of the original feature space. Therefore, subspace outlier detection has been recently defined. As a novel solution to tackle this problem, we propose here a local subspace based outlier detection technique, which uses different subspaces for different objects. Using this concept we
An Enhanced Density Based Spatial Clustering of Applications with Noise
Advance Computing Conference, 2009. IACC 2009. IEEE International, pp. 1475-1478
DBSCAN is a pioneer density based clustering algorithm. It can find out the clusters of different shapes and sizes from the large amount of data which is containing noise and outliers. But the clusters detected by it contain large amount of density variation within them. It can not handle the local density variation that exists within the cluster. For good clustering a significant density variation may be allowed within the cluster because if we go for homogeneous clustering, a large number of smaller unimp
Entity Ranking and Relationship Queries Using an Extended Graph Model
18 th International Conference on Management of Data (COMAD 2012)
There is a large amount of textual data on the Web and in Wikipedia, where mentions of entities (such as Gandhi) are annotated with a link to the disambiguated entity (such as M. K. Gandhi). Such annotation may have been done
manually (as in Wikipedia) or can be done using named entity recognition/disambiguation techniques. Such an annotated corpus allows queries to return entities, instead of documents. Entity ranking queries retrieve entities that
are related to keywords in the query and belong to a giv
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