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Title: Kalleidos (Spring 2011) IPRO 303
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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Title: Chujio (Semester Unknown) IPRO 303: ChujioIPRO302FinalReportF10
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303MidTermPresentationSp11
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303ProjectPlanSp11_redacted
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303BrochureSp11
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less

Title: Chujio (Semester Unknown) IPRO 303: ChujioIPRO302BrochureF10
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

Title: Chujio (Semester Unknown) IPRO 303: ChujioIPRO302Poster1F10
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303PosterSp11
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less

Title: Chujio (Semester Unknown) IPRO 303
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

Title: Chujio (Semester Unknown) IPRO 303: ChujioIPRO302Poster2F10
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

Title: Chujio (Semester Unknown) IPRO 303: ChujioIPRO302MidTermF10
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303FinalReportSp11_redacted
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less

Title: Chujio (Semester Unknown) IPRO 303: ChujioIPRO302ProjectPlanF10_redacted
Creator: Kumar, Aditi, Curtis, Christopher, Vysotskiy, Dmitriy, Ramirez, Ernesto, Abu-amara, Hashem, Chun, Jason, Jewell, John, Varga, Kalman, Michael, Mark, Koto, Melanie, Tagny, Patrick
Date: 2010, 2010-12
Description: Solutions through Coaliition
Sponsorship: NAVTEQ
Deliverables

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