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Charu C Aggarwal

from Pleasanton, CA
Age ~47
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Also known as:
Charu Gupta, Aggarwal Charu, Charu L
Related to:
Ravnish Gupta, 49Bharat Aggarwal, 42Alok Gupta, 59Aditi Aggarwal, 46P GuptaJason P Gupta, 42Reema Gupta, 46Vijay GuptaReema GuptaPankaj Gupta, 45Shalini GuptaAnurag Gupta, 49Ravi K Gupta, 71Nitin Gupta, 49Ravi K Gupta, 62Mukul Gupta, 54
Connected to:
Abhuday Aggarwal, 47Aditya K Aggarwal, 90Akhilesh Aggarwal, 41Amitesh Aggarwal, 48Amrit Aggarwal, 70Anoop Aggarwal, 28Anu Aggarwal, 57Ashwani K Aggarwal, 66Bindeshwari I Aggarwal, 77

Charu Aggarwal Phones & Addresses

  • Pleasanton, CA
  • 88 Lefurgy Ave, Dobbs Ferry, NY 10522
  • Fremont, CA
  • San Jose, CA
  • Santa Clara, CA
  • Saint Paul, MN
  • Arnold, CA
  • Merced, CA
  • 2378 W Hedding St, San Jose, CA 95128 (651) 329-5920

Emails

c***[email protected]

Resumes

Resumes

Charu Aggarwal Photo 1

Charu Aggarwal

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Location:
2378 west Hedding St, San Jose, CA 95128
Industry:
Non-Profit Organization Management
Skills:
Public Relations
Social Entrepreneurship
Training
Family Therapy
Coaching
Project Management
Curriculum Development
Social Media
Customer Service
Cross Functional Team Leadership
Workshop Facilitation
Supervisory Skills
Contract Negotiation
Interests:
Exercise
Sweepstakes
Nascar
Home Improvement
Reading
Watching Auto Racing
Sports
Watching Sports
Cooking
Electronics
Outdoors
Sewing
Auto Racing
Fitness
Music
Movies
Collecting
Diet
Travel
Investing
Traveling
International Traavel
Smoking
Charu Aggarwal Photo 2

Charu Aggarwal

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Charu Aggarwal Photo 3

Charu Aggarwal

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Charu Aggarwal Photo 4

Charu Aggarwal

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Location:
United States

Publications

Isbn (Books And Publications)

Data Streams: Models And Algorithms

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Author

Charu C. Aggarwal

ISBN #

0387287590

Data Streams: Models and Algorithms

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Author

Charu C. Aggarwal

ISBN #

0387475346

Us Patents

System And Method For Detecting Clusters Of Information With Application To E-Commerce

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US Patent:
6349309, Feb 19, 2002
Filed:
May 24, 1999
Appl. No.:
09/317472
Inventors:
Charu Chandra Aggarwal - Yorktown Heights NY
Philip Shi-Lung Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1730
US Classification:
707200, 707 2, 707 5, 707 6, 382190
Abstract:
A method of analyzing information in the form of a plurality of data values. The plurality of data values represent a plurality of objects. The plurality of data values are distributed in a data space. A set of features which characterize each of the plurality of objects is identified. The plurality of data values are stored in a database. Each of the plurality of data values corresponds to at least one of the plurality of objects based on the set of features. Ones of the plurality of data values stored in the database are partitioned into a plurality of clusters. A respective orientation associated with a position in data space of data values which are contained in each respective cluster of the plurality of clusters is calculated based on the set of features. If desired, information may be analyzed for finding peer groups in e-commerce applications.

Content Based Method For Product-Peer Filtering

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US Patent:
6356879, Mar 12, 2002
Filed:
Oct 9, 1998
Appl. No.:
09/169029
Inventors:
Charu C. Aggarwal - Yorktown Heights NY
Philip S. Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1760
US Classification:
705 26, 705 27, 707 3, 707102
Abstract:
The present invention derives product characterizations for products offered at an e-commerce site based on the text descriptions of the products provided at the site. A customer characterization is generated for any customer browsing the e-commerce site. The characterizations include an aggregation of derived product characterizations associated with products bought and/or browsed by that customer. A peer group is formed by clustering customers having similar customer characterizations. Recommendations are then made to a customer based on the processed characterization and peer group data.

System And Method For Generating Taxonomies With Applications To Content-Based Recommendations

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US Patent:
6360227, Mar 19, 2002
Filed:
Jan 29, 1999
Appl. No.:
09/240231
Inventors:
Charu Chandra Aggarwal - Yorktown Heights NY
Stephen C. Gates - Redding CT
Philip Shi-Lung Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1700
US Classification:
707102, 707103 D, 707 10, 707 5, 709219, 725116, 345428
Abstract:
A graph taxonomy of information which is represented by a plurality of vectors is generated. The graph taxonomy includes a plurality of nodes and a plurality of edges. The plurality of nodes is generated, and each node of the plurality of nodes is associated with ones of the plurality of vectors. A tree hierarchy is established based on the plurality of nodes. A plurality of distances between ones of the plurality of nodes is calculated. Ones of the plurality of nodes are connected with other ones of the plurality of nodes by ones of the plurality of edges based on the plurality of distances. The information represented by the plurality of vectors may be, for example, a plurality of documents such as Web Pages.

Depth First Method For Generating Itemsets

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US Patent:
6389416, May 14, 2002
Filed:
Feb 19, 1999
Appl. No.:
09/253243
Inventors:
Ramesh C. Agarwal - Yorktown Heights NY
Charu C. Aggarwal - Yorktown Heights NY
V. V. V. Prasad - Hyderabad, IN
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1730
US Classification:
707 6, 707 3, 707 4, 707 5, 706 18, 706 48
Abstract:
A system and method for generating itemset associations in a memory storage system comprising many transactions, with each transaction including one or more items capable of forming the itemset associations. The method involves generating a lexicographic tree structure having nodes representing itemset associations meeting a minimum support criteria. In a recursive manner, for each lexicographic least itemset (node) P of the lexicographic tree structure, candidate extensions of the node P are first determined. Then, the support of each of the candidate extensions is counted to determine frequent extension itemsets of that node P, while those itemsets not meeting a predetermined support criteria are eliminated. Child nodes corresponding to the frequent extensions and meeting the predetermined support criteria are created. For each frequent child of node P, all itemset associations for all descendants of node P are generated first.

System And Method Of Using Clustering To Find Personalized Associations

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US Patent:
6408295, Jun 18, 2002
Filed:
Jun 16, 1999
Appl. No.:
09/334764
Inventors:
Charu C. Aggarwal - Yorktown Heights NY
Philip Shi-lung Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1730
US Classification:
707 6, 702 2, 702 3, 702 7
Abstract:
A system and method for developing association rules which are personalized for a customer. The method includes partitioning (clustering) a set of records corresponding to transactions of items into discrete segments so that different parts of the data show different kinds of trends. The clustering is used in order to create a segmentation of the data such that these trends are captured in each segment. Consequently, a different set of association rules are relevant for each segment. For a given customer, the segment to which he/she belongs most closely may be readily determined, and the trends in that segment may be used for generating the association rules.

Optimizing Method For Digital Content Delivery In A Multicast Network

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US Patent:
6477180, Nov 5, 2002
Filed:
Jan 28, 1999
Appl. No.:
09/239341
Inventors:
Charu C. Aggarwal - Ossining NY
Jayachandran Sethuraman - Cambridge MA
Mark S. Squillante - Pound Ridge NY
Joel L. Wolf - Katonah NY
Philip S. Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04J 116
US Classification:
370468, 370473, 370474, 370242
Abstract:
A method for scheduling delivery of digital objects over a network, in accordance with the invention, includes the steps of providing a user interface for selecting objects to be transmitted thereto, selecting at least one object to be transmitted to the user interface, identifying and receiving in-progress object transmissions corresponding to the at least one selected object, identifying portions of the at least one object not yet received to request transmission of the portions of the at least one object not yet received and receiving remaining portions of the at least one object during additional in-progress transmissions. A system is also included.

Semantic Based Collaborative Filtering

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US Patent:
6487539, Nov 26, 2002
Filed:
Aug 6, 1999
Appl. No.:
09/369741
Inventors:
Charu C. Aggarwal - Yorktown Heights NY
Philip S. Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1760
US Classification:
705 14
Abstract:
A method for providing product recommendations to customers in an e-commerce environment includes the step of generating content and compatibility representations of products corresponding to a plurality of customers. A similarity function is calculated between pairs of content attributes corresponding to the products. A similarity function is calculated between pairs of compatibility attributes corresponding to the products. The plurality of customers are clustered into a plurality of peer groups. For a given customer, a closest peer group of the plurality of peer groups is determined. At least one potential recommendation is then generated for the given customer based on the closest peer group.

System And Method For Collaborative Filtering With Applications To E-Commerce

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US Patent:
6487541, Nov 26, 2002
Filed:
Jan 22, 1999
Appl. No.:
09/236051
Inventors:
Charu Chandra Aggarwal - Ossining NY
Joel Leonard Wolf - Katonah NY
Philip Shi-Lung Yu - Chappaqua NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 1760
US Classification:
705 26, 705 1, 705 14, 705 27
Abstract:
A rating of a plurality of ratings is predicted. The rating is associated with a user of a plurality of users and the rating corresponds to an item of a plurality of items. One of the plurality of ratings, corresponding to at least one of the plurality of items, is provided for each of the plurality of users. A predictability relation between ones of the plurality of users and other ones of the plurality of users is calculated based on ratings provided by users. One of a plurality of nodes is assigned to each of the plurality of users. Ones of the plurality of nodes are connected with other ones of the plurality of nodes by a plurality of edges based on the predictability relation. A graph which includes the plurality of nodes and the plurality of edges is searched for a path from a node assigned to the user of the plurality of users to another node assigned to another user of the plurality of users. The rating of the plurality of ratings associated with the user of a plurality of users is calculated based on the path and the predictability relation. If desired, a predicted rating may be produced for identifying products and customers in an e-commerce applications.
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Charu C Aggarwal from Pleasanton, CA, age ~47 Get Report