How to stay competitive in a Big Data Market
How you should rethink your strategies in a post-rate parity world.
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How to stay competitive in a Big Data Market
How you should rethink your strategies in a post-rate parity world.
Rate Strategy
Inventory Control
Distribution Mix
Marketing Actions
Selection of genes to include in genomic studies of disease
remains a difficult task. Current methods rely on expert opinion
or manual search engine use. With these methods, the
process and result are neither repeatable nor scalable. To
remedy this situation, we created the Informative Genetic
Content (IGC) system, which enables the algorithmic selection
of genes for inclusion in such studies, given one or more
diseases to target.
The IGC system stands on three components: a database
associating diseases with genes and other diseases, an
algorithm to rank the genes under consideration for inclusion in
a panel, and a module that clusters genes by families of
diseases. The first component, the database, maps diseases
to associated genes and scores each of these mappings
according to the strength of the relationship. The database also
maps diseases to other diseases, such that groups of diseases
or hierarchical relationships between diseases can be
identified. The second component enables the ranking of
candidate genes when multiple diseases are of interest. The
algorithm accounts for the common situation where two or
more diseases are associated with the same gene with varying
strengths of association, weighting and combining the scores
across the diseases associated with each gene. The final
component, the gene clustering module, groups genes by
pathogenic pathways, should the user want to consider
targeting a broader family of diseases affected by a closely
related set of genes.
We validated the IGC system through comparisons of our
automated gene selections with expertly curated gene panel
designs. We found a high degree of overlap between the IGC’s
gene selection and the gene lists chosen by experts,
supporting the viability of our system.
Together with the scalability and repeatability enabled by its
automation, the IGC system greatly improves the gene panel
selection process and therefore advances targeted genomic
studies.
How OSINT will play an important role in the future, helping to predict, prevent and react against incidents that threaten the Global security.
The presentation will delve into the tools and techniques that enable OSINT practitioners to measure the Global security signals conveyed by the Internet. Multiple facets of information dissemination, collection, analysis and interpretation will be examined, with a focus on the security dimension of the information.
OSINT - Open Source Intelligence "Leading Intelligence and Investigation Tech...Falgun Rathod
As per Wiki - Open-source intelligence (OSINT) is intelligence collected from publicly available sources. In the intelligence community (IC), the term "open" refers to overt, publicly available sources (as opposed to covert or clandestine sources); it is not related to open-source software or public intelligence.
There are lots of other ways to collect information from Public Source which may not provided in this document, This is just an Introductory Document for whose who are beginners and students.
How to Use Open Source Intelligence (OSINT) in InvestigationsCase IQ
Every investigator needs the skills and knowledge to use OSINT competently in investigations. As online information continues to multiply in volume and complexity, the tools required to find, sift through, authenticate and preserve that information become more and more important for investigators. Failure to master these tools to tap into the rich resources of the web can hamper your investigations.
Learn the intricacies of online investigating from an expert in the field. Join Sandra Stibbards, owner and president of Camelot Investigations and a financial fraud investigator, speaker and trainer, for a free webinar on How to Use OSINT in Investigations.
Webinar attendees will learn:
-How to find information on the hidden web
-How to find publicly available information in government and private databases
-Dos and don’ts for searching social media effectively
-Tips for remaining anonymous while researching investigation subjects
-Accessing archived information
-How criminals hide, and how to find them
Selection of genes to include in genomic studies of disease
remains a difficult task. Current methods rely on expert opinion
or manual search engine use. With these methods, the
process and result are neither repeatable nor scalable. To
remedy this situation, we created the Informative Genetic
Content (IGC) system, which enables the algorithmic selection
of genes for inclusion in such studies, given one or more
diseases to target.
The IGC system stands on three components: a database
associating diseases with genes and other diseases, an
algorithm to rank the genes under consideration for inclusion in
a panel, and a module that clusters genes by families of
diseases. The first component, the database, maps diseases
to associated genes and scores each of these mappings
according to the strength of the relationship. The database also
maps diseases to other diseases, such that groups of diseases
or hierarchical relationships between diseases can be
identified. The second component enables the ranking of
candidate genes when multiple diseases are of interest. The
algorithm accounts for the common situation where two or
more diseases are associated with the same gene with varying
strengths of association, weighting and combining the scores
across the diseases associated with each gene. The final
component, the gene clustering module, groups genes by
pathogenic pathways, should the user want to consider
targeting a broader family of diseases affected by a closely
related set of genes.
We validated the IGC system through comparisons of our
automated gene selections with expertly curated gene panel
designs. We found a high degree of overlap between the IGC’s
gene selection and the gene lists chosen by experts,
supporting the viability of our system.
Together with the scalability and repeatability enabled by its
automation, the IGC system greatly improves the gene panel
selection process and therefore advances targeted genomic
studies.
How OSINT will play an important role in the future, helping to predict, prevent and react against incidents that threaten the Global security.
The presentation will delve into the tools and techniques that enable OSINT practitioners to measure the Global security signals conveyed by the Internet. Multiple facets of information dissemination, collection, analysis and interpretation will be examined, with a focus on the security dimension of the information.
OSINT - Open Source Intelligence "Leading Intelligence and Investigation Tech...Falgun Rathod
As per Wiki - Open-source intelligence (OSINT) is intelligence collected from publicly available sources. In the intelligence community (IC), the term "open" refers to overt, publicly available sources (as opposed to covert or clandestine sources); it is not related to open-source software or public intelligence.
There are lots of other ways to collect information from Public Source which may not provided in this document, This is just an Introductory Document for whose who are beginners and students.
How to Use Open Source Intelligence (OSINT) in InvestigationsCase IQ
Every investigator needs the skills and knowledge to use OSINT competently in investigations. As online information continues to multiply in volume and complexity, the tools required to find, sift through, authenticate and preserve that information become more and more important for investigators. Failure to master these tools to tap into the rich resources of the web can hamper your investigations.
Learn the intricacies of online investigating from an expert in the field. Join Sandra Stibbards, owner and president of Camelot Investigations and a financial fraud investigator, speaker and trainer, for a free webinar on How to Use OSINT in Investigations.
Webinar attendees will learn:
-How to find information on the hidden web
-How to find publicly available information in government and private databases
-Dos and don’ts for searching social media effectively
-Tips for remaining anonymous while researching investigation subjects
-Accessing archived information
-How criminals hide, and how to find them
2. Nyílt forráskódú adatok szerzése:
Televízió
Újság
Rádió
Weblap
Videó megosztó portál
Közösségi oldalak(Twitter, Facebook)
Blogok
Információ gyűjtésen kívül a feldolgozás is feladat
Hatalmas mennyiségű adat
Nap, mint nap egyre több adat
Okostelefonok terjedése, Számítógépek terjedése
3. Adatok védelme
Számos embernél fontos lehet, hogy ne kerüljön bele ilyen rendszerekbe
Védekezni lehet, ám a manapság az okostelefon életünk részét képezi.
Felhasználási területei
Kormány
Hírszerzés
Katonaság
Nemzetvédelem
Források: : http://www.mkih.hu/osint.shtml
http://resources.infosecinstitute.com/osint-open-source-intelligence/