Texas Health Physicians GroupTexas Hip & Knee Center 6301 Harris Pkwy STE 300, Fort Worth, TX 76132 8178773432 (phone), 8173464394 (fax)
Languages:
English Spanish
Description:
Mr. Tran works in Fort Worth, TX and specializes in Orthopaedic Surgery. Mr. Tran is affiliated with Baylor Surgical Hospital Fort Worth and Texas Health Harris Methodist Hospital Fort Worth.
dorkShop New York, NY Feb 2010 to Mar 2011 Founding Member & PresidentMFA D
2011 to 2011 Parsons Bootcamp Teaching Fellow
Education:
College of William and Mary MFA in Design & TechnologyThe New School for Social Research Dec 2011 Parsons Research AssistantshipsUniversity and division committees and disaster risk management Nov 2010 Business ConsultantCollege of William and Mary 2009 Tiano Book DesignParsons The New School for Design Jul 2005
- Atlanta GA, US Appavu Siva Prakasam - New Providence NJ, US Ann Eileen Skudlark - San Ramon CA, US Siva Kolachina - Plano TX, US Nisha Shahul Hameed - Bellevue WA, US Prashanth Boddhireddy - Plano TX, US Lien Tran - Seattle WA, US
Aspects of the subject disclosure may include, for example, determining classes from a corpus based on topic modeling, data clustering and unsupervised learning. Labels are determined for each of the classes and trained models are generated for each of the classes by assignment of a plurality of textual documents to labels based on a highest number of matches. A raw textual document can be tokenized and stop words removed. A corresponding one of the trained models can be selected according to a class that is applicable to subject matter of the raw textual document. The processed document can be assigned to a target label based on a highest number of matches of words. Other embodiments are disclosed.
- Atlanta GA, US Lien K. Tran - Chatham NJ, US Yu Jin - Foster City CA, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
H04L 12/58 H04L 29/06 H04W 4/14
Abstract:
A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.
- Atlanta GA, US Lien K. Tran - Chatham NJ, US Yu Jin - Foster City CA, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
H04L 12/58 H04W 4/14 H04L 29/06 G06F 9/455
Abstract:
A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.
System And Method For Cloud Based Ip Mobile Messaging Spam Detection And Defense
- Atlanta GA, US Lien K. Tran - Chatham NJ, US Yu Jin - Foster City CA, US
Assignee:
AT&T INTELLECTUAL PROPERTY I, L.P. - Atlanta GA
International Classification:
H04L 12/58 G06F 9/455
Abstract:
A cloud based mobile internet protocol messaging spam defense. Short message service (SMS) messages are analyzed by a cloud based virtual machine to determine if should be considered potentially unwanted messages (e.g., spam). The cloud based virtual machine uses a user specific algorithm for determining if a message should be considered to be a potentially unwanted message. Messages that are determined to be potentially unwanted messages trigger a notification to be sent to a user device associated with the virtual machine. The notification requests confirmation from the user that the potentially unwanted message is an unwanted message. The user's response to a request for confirmation is then used to update an unwanted message database associated with the user and the user device.
Providing A Real-Time Anomalous Event Detection And Notification Service In A Wireless Network
- Atlanta GA, US Cynthia Cama - Belmar NJ, US Ann E. Skudlark - Westfield NJ, US Lien K. Tran - Chatham NJ, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
H04W 12/00 H04W 68/00
US Classification:
726 23
Abstract:
A method and apparatus for providing a notification service in a wireless network are disclosed. For example, the method registers a mobile device associated with a customer for the notification service, collects traffic data related to the mobile device of the customer, determines if an anomaly is detected for the traffic data that is collected for the mobile device, and provides a notification to the mobile device of the customer, if the anomaly is detected for the traffic data that is collected for the mobile device.
Lien Tran 1998 graduate of Capital Community - Technical College in Hartford, CT is on Memory Lane. Get caught up with Lien and other high school alumni from