| 2007 |
|---|
| 17 | EE | Katsutoshi Yada,
Edward Ip,
Naoki Katoh:
Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability.
Decision Support Systems 44(1): 223-234 (2007) |
| 16 | EE | Katsutoshi Yada:
CODIRO: A New System for Obtaining Data Concerning Consumer Behavior Based on Data Factors of High Interest Determined by the Analyst.
Soft Comput. 11(8): 811-817 (2007) |
| 2006 |
|---|
| 15 | EE | Wataru Sunayama,
Katsutoshi Yada:
The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs.
ICDM Workshops 2006: 575-579 |
| 14 | EE | Katsutoshi Yada,
Kosuke Ohno:
The Process of the Effective Pricing Strategy Using PRISM.
JCIS 2006 |
| 13 | EE | Takashi Washio,
Yasuo Shinnou,
Katsutoshi Yada,
Hiroshi Motoda,
Takashi Okada:
Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques.
JSAI 2006: 305-316 |
| 12 | EE | Katsutoshi Yada,
Kosuke Ohno:
Knowledge Discovery from Click Stream Data and Effective Site Management.
JSAI 2006: 360-373 |
| 11 | EE | Katsutoshi Yada:
The Structure of Scenario Communication and Chance Discovery.
Chance Discoveries in Real World Decision Making 2006: 21-36 |
| 2005 |
|---|
| 10 | EE | Kohei Yamamoto,
Katsutoshi Yada:
Optimum Pricing Strategy for Maximization of Profits and Chance Discovery.
KES (1) 2005: 1160-1166 |
| 9 | EE | Katsutoshi Yada,
Yukinobu Hamuro,
Naoki Katoh,
Kazuhiro Kishiya:
The Future Direction of New Computing Environment for Exabyte Data in the Business World.
SAINT Workshops 2005: 316-319 |
| 2004 |
|---|
| 8 | EE | Katsutoshi Yada,
Hiroshi Motoda,
Takashi Washio,
Asuka Miyawaki:
Consumer Behavior Analysis by Graph Mining Technique.
KES 2004: 800-806 |
| 2003 |
|---|
| 7 | EE | Katsutoshi Yada,
Yukinobu Hamuro,
Naoki Katoh,
Takashi Washio,
Issey Fusamoto,
Daisuke Fujishima,
Takaya Ikeda:
Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI.
Active Mining 2003: 152-173 |
| 6 | EE | Naoki Katoh,
Katsutoshi Yada,
Yukinobu Hamuro:
Business Application for Sales Transaction Data by Using Genome Analysis Technology.
Discovery Science 2003: 208-219 |
| 2002 |
|---|
| 5 | EE | Yukinobu Hamuro,
Hideki Kawata,
Naoki Katoh,
Katsutoshi Yada:
A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History.
Progress in Discovery Science 2002: 565-575 |
| 2000 |
|---|
| 4 | EE | Yukinobu Hamuro,
Naoki Katoh,
Katsutoshi Yada:
Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior.
Discovery Science 2000: 263-267 |
| 1999 |
|---|
| 3 | EE | Katsuki Fujisawa,
Yukinobu Hamuro,
Naoki Katoh,
Takeshi Tokuyama,
Katsutoshi Yada:
Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming.
Discovery Science 1999: 148-159 |
| 1998 |
|---|
| 2 | EE | Yukinobu Hamuro,
Naoki Katoh,
Katsutoshi Yada:
Data Mining Oriented System for Business Applications.
Discovery Science 1998: 441-442 |
| 1 | | Yukinobu Hamuro,
Naoki Katoh,
Yasuyuki Matsuda,
Katsutoshi Yada:
Mining Pharmacy Data Helps to Make Profits.
Data Min. Knowl. Discov. 2(4): 391-398 (1998) |
